About the Team 

A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software Engineer for the Advertising Platform to play a vital role in this mission. If you bring extensive experience building complex systems, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you! 

About the Role 

Roku pioneered TV streaming and continues to innovate, leading the industry. The Roku Channel has us well-positioned to help shape the future of streaming. Continued success relies on investing in Advertising Engineering. The ideal candidate will possess endless curiosity and be able to pair a global mindset with locally relevant execution. The successful candidate will demonstrate a balance of hard and soft skills, including the ability to respond promptly to evolving business needs.

Building a real-time, highly scalable, and available advertising platform is critical for our success. Our team’s mission is to build a best-in-class advertising platform to support and grow Roku’s exploding ad business. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

For New York Only - The estimated annual salary for this position is between $195,000 - $408,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What You'll Be Doing

• Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications 
• Own building features, driving directly with the product, and other engineering teams 
• Demonstrate excellent communication skills in working with technical and non-technical audiences 
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
• Be an evangelist for platform innovation and reuse 
• Deliver top-quality software in a timely fashion 

We're Excited If You Have

• 10+ years of experience building large-scale and low-latency distributed systems
• Command of Java or C++
• Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
• Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
• Experience with Big Data and cloud services such as AWS/GCP is a plus
• Experience in the advertising domain is a big plus 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
• Self-motivated individual with a high level of accountability and ownership
• Critical thinking and practical decision-making
• Can do, results-oriented mindset
• Nonpolitical, collaborative, and team-oriented
• Desire to win in a highly competitive industry
• AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

WHAT IS BOX? 

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

As an Associate Solutions Engineer (ASE), you will partner with our global Solutions Engineering (SE) team to craft customer-centric solutions for business and IT leaders in every industry. 

To best prepare you for this full-time role, Box is inviting you to join our 6-month intensive training program, the ASE Academy, which is designed to teach you the tools and tactics that serve as the foundation to be a successful Solutions Engineer at Box. Throughout the program, you will receive comprehensive training focused on both technical and professional skill development, and you will have opportunities to practice these skills while supporting the needs of the business. By the end of the academy, you will have demonstrated proficiency with the Box product, and comfortability presenting the value of our solution for specific business challenges. 

Upon completion of the Academy, you will continue your development as an Associate Solutions Engineer, leveraging your product expertise to help our customers — and our internal employees — better understand the value of the Box platform.

WHAT YOU'LL DO 

• Collaborate with colleagues using a modern suite of SaaS business applications (Box, Salesforce, Slack, Zoom, etc.)

• Develop your professional and technical skills by completing the ASE Academy and continuing into a full-time ASE position

• Become an expert on the Box platform (web, mobile, desktop, and APIs)

• Get hands-on experience building and utilizing Box AI Agents

• Partner with SEs on strategic opportunities to ensure our technology is a good fit for our customers

• Utilize your active listening skills to understand and uncover customer needs and business problems to effectively communicate how Box can solve them

• Deliver product demonstrations to our customers and our internal teams

WHO YOU ARE 

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• Associate or Bachelor’s Degree - open to Spring 2026 graduates

• 1+ year cumulative experience in a customer-facing or service-oriented role

• Demonstrated interest in learning new technology and leveraging it to solve challenges

• Ambition and desire to pursue a career in technical sales

• A team player who thrives on collaboration

• Highly motivated, driven and self-starting individual with a positive attitude

• Engaging communicator who is comfortable delivering presentations

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.

#Li-Hybrid

Senior Machine Learning Engineer - Model Evaluations, Public Sector

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

You will:

• Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.
• Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.
• Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.
• Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.
• Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.
• Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.
• Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
• Comfortable with light travel (approximately 10%) for customer interaction and team needs.

This role will require an active security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.
• Strong programming skills in Python; experience with TensorFlow or PyTorch.
• Background in algorithms, data structures, and object-oriented programming.
• Experience with LLM pipelines, simulation environments, or automated evaluation systems.
• Ability to convert research insights into measurable evaluation criteria.

Nice to haves:

• Graduate degree in CS, ML, or AI.
• Cloud experience (AWS, GCP) and model deployment experience.
• Experience with LLM evaluation, CV robustness, or RL validation.
• Knowledge of interpretability, adversarial robustness, or AI safety frameworks.
• Familiarity with ML evaluation frameworks and agentic model design.
• Experience in regulated, classified, or mission-critical ML domains.

WHO WE ARE 

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

Why This Role Exists
Most teams slow down to achieve quality.
We believe the opposite: quality is what enables speed.

We are building an AI-first engineering organization where developers ship fast, confidently, and continuously. That only works if someone owns the system of how quality, data, and delivery come together.

That someone is you.

This is not QA. This is not project management.
This is a high ownership role where you shape how an AI-First team builds, validates, and ships production software.

What You Will Own

Make Quality a Built-In System, Not a Gate

• Turn quality into developer behavior, not a downstream function
• Teach engineers to anticipate failure modes, edge cases, and data issues before writing code
• Build automated test systems that act as guardrails, not overhead
• Define what “production-ready” actually means and enforce it through systems, not process
• Eliminate “hope-driven releases”

Define What’s Buildable Before It Gets Built

• Partner with Sales and Product to pressure test ideas early
• Answer: Is this possible? With what data? At what cost? With what trade-offs?
• Translate ambiguity into clear execution plans engineers can run with
• Kill bad ideas early. Shape good ones into something buildable

Own the Data Reality

• Map and understand how data actually flows, not how people think it flows
• Identify what data exists, what is missing, and what is unreliable
• Navigate internal systems and third-party integrations with confidence
• Ensure every feature is grounded in real, usable data, not assumptions

Bring Domain Depth (MarTech / AdTech + Healthcare)

• Apply real-world understanding of identity, activation, measurement, and data constraints
• Operate within healthcare realities, including compliance and sensitivity of data
• Ensure what we build is not just technically correct, but market-relevant and viable

Drive Delivery Like an Owner

• Run delivery for a team of AI-first engineers
• Break down work into clear, executable steps with no ambiguity
• Drive predictable delivery without slowing the team down
• Surface risks early and adjust before they become problems
• Align Product, Engineering, and GTM without friction

Redefine QA for AI-First Development

• Build testing strategies for AI-generated and non-deterministic systems
• Validate outputs, not just code
• Create evaluation frameworks for AI reliability, accuracy, and behavior
• Ensure AI accelerates development without degrading quality

What Makes You a Strong Fit

• You have likely outgrown traditional QA or delivery roles
• You think in systems, not tickets
• You can go from data model → product requirement → test strategy → delivery plan without handoffs
• You are comfortable pushing back on Product and Sales when things do not make sense
• You know how to make engineers better without becoming a bottleneck
• You care deeply about what happens in production, not just what gets shipped
  
  

Your Background Likely Includes

• Deep experience in quality engineering, SDET, or technical delivery leadership
• Strong hands-on experience with test automation and CI/CD systems
• Ability to query and reason across complex data systems (SQL required)
• Experience with AI-assisted development or ML/LLM-based systems
• Strong familiarity with MarTech / AdTech ecosystems, healthcare is a major plus

What Success Looks Like

• Engineers ship to production with confidence, not hesitation
• Bugs are caught before customers ever see them
• Automated tests are trusted, fast, and low maintenance
• Discovery is grounded in data reality, not assumptions
• Delivery is predictable without heavy process
• The team moves fast because quality is built in, not added later
  

Why You Should Join

• You will define how an AI-first engineering organization actually operates
• You will have real ownership across quality, data, and delivery
• You will work on high-impact MarTech / AdTech problems in healthcare
• You will operate in a team that values speed, clarity, and production outcomes
  

Bottom Line

If you want to:

• Move beyond QA as a function
• Operate as a force multiplier for an engineering team
• Build systems that let teams ship fast without breaking things
• This role is for you.

BENEFITS & PERKS

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

SALARY RANGE

The salary range for this role is $150,000 - $200,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

#LI-TS1

About the role

We are looking for a Software Engineer to help build our new financial platform that is highly reliable, scalable, and will serve as the backbone for Chime. This platform will power the most important financial activities that millions of Chime members undertake every day. You will ensure that we build the highest levels of trust with our members by making our platform lightning-fast, available, secure, resilient and auditable. This is an exciting opportunity to be an invaluable member of a strategically important  initiative for Chime. 

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Design, develop, test, and deploy components of a new financial platform
• Deliver secure, reliable, and high-performance infrastructure and APIs
• Work with our infrastructure engineering team to minimize the operational overhead of production systems you deploy
• Develop thoroughly tested code and conduct quality assurance on all new code alongside our QA team
• Learn and execute on agile methodologies, follow test driven development approach
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

To thrive in this role, you have

• Must have experience in Go
• Experience in additional backend languages such as Ruby, Java and Python is preferred
• Have 4+ years of engineering experience
• Have contributed to the development of backend systems
• Experience in payment processing systems
• Take a rigorous approach to testing backed development
• Experience with AWS or other cloud platforms, Cloud Native technology, No-SQL Databases as a bonus!
• Have an understanding of architectural patterns of large, mission-critical production services as a bonus!
• Have worked in continuous integration/deployment environments as a bonus!
• Please note: If you are located in Seattle, you will be required to onboard in person at our SF HQ + occasional business travel.

#LI-Onsite #LI-GC1

What We're Looking For

As a Machine Learning Solutions Engineer, you will operate at the intersection of machine learning, distributed systems, and cloud infrastructure.
You will partner with customers to design and deploy end-to-end AI systems, spanning:

• Model development and training
• GPU infrastructure and cluster design
• Distributed inference and production deployment

This role goes beyond traditional ML solutions engineering—you will act as a technical architect, helping customers make critical decisions across compute, orchestration, and system design.

The role can be based out of our New York City or San Francisco office, with an in-office requirement of at least 2-3 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time. The annual base pay range for this role is $150,000 - $195,000, in addition to a variable pay component and meaningful equity. 

What You’ll Do

Customer Architecture & Technical Leadership

• Partner with customers to understand ML workloads, infrastructure constraints, and scaling requirements
  
  
• Architect end-to-end solutions across:
  
  
• Data pipelines (CPU → GPU workflows)
  
  
• Distributed training (multi-node, multi-GPU)
  
  
• High-throughput inference systems
  
  
• Translate business goals (latency, cost, throughput) into technical system design decisions
  
  

GPU & Infrastructure Design

• Design and optimize workloads across GPU clusters (H100, H200, B200, etc.)
  
  
• Advise on:
  
  
• Training vs inference cluster design
  
  
• Interconnect choices (Ethernet vs Infiniband / RDMA vs Roce)
  
  
• Storage strategies (local NVMe vs networked / object storage)
  
  
• Model and optimize for:
  
  
• Tokens/sec, tokens/$
  
  
• Throughput vs latency tradeoffs
  
  
• GPU utilization and scheduling efficiency
  
  

Kubernetes & Platform Systems

• Design and support deployments on Kubernetes (EKS, GKE, on-prem clusters)
  
  
• Work with:
  
  
• GPU scheduling (time-slicing, MIG, bin-packing)
  
  
• Autoscaling and workload orchestration
  
  
• Helm-based deployments and multi-tenant environments
  
  
• Help customers balance:
  
  
• Raw Kubernetes flexibility vs platform abstraction (Lightning)
  
  

Demos, POCs, and Execution

• Build and deliver technical demos and POCs that showcase:
  
  
• Distributed training workflows
  
  
• Scalable inference endpoints
  
  
• End-to-end ML pipelines on Lightning AI
  
  
• Scope and lead POCs aligned to customer success metrics (latency, cost, reliability)
  
  

Cross-Functional Impact

• Act as the bridge between customers, product, and engineering
  
  
• Provide feedback on:
  
  
• Platform gaps in infrastructure, orchestration, and performance
  
  
• Emerging patterns in GPU usage and distributed systems
  
  
• Influence roadmap across ML workflows and infrastructure capabilities
  
  

Enablement & Thought Leadership

• Create technical content
• Architecture guides (e.g., high-throughput LLM inference systems)
• Best practices for GPU utilization and scaling
• Educate customers on modern AI infrastructure patterns

What You’ll Need

ML + Systems Expertise

• 3–6+ years experience in:
  
  
• Machine Learning / AI Engineering
  
  
• Solutions Engineering / Sales Engineering / ML Consulting
  
  
• Strong understanding of:
  
  
• Training vs inference workloads
  
  
• Model optimization (quantization, batching, caching, etc.)
  
  

GPU & Distributed Systems

• Experience working with:
  
  
• GPU clusters (NVIDIA stack preferred)
  
  
• Distributed training or inference systems
  
  
• Familiarity with:
  
  
• NCCL, CUDA, or GPU performance profiling
  
  
• Networking concepts (RDMA, Roce, Infiniband, high-throughput systems)
  
  

Kubernetes & Cloud Platforms

• Hands-on experience with:
  
  
• Kubernetes (EKS, GKE, or on-prem)
• Slurm 
• Containerization (Docker)
  
  
• Exposure to:
  
  
• GPU scheduling in Kubernetes environments
  
  
• Multi-tenant or production ML deployments
  
  

Programming & Tooling

• Strong Python skills (PyTorch preferred)
  
  
• Experience building:
  
  
• ML pipelines
  
  
• APIs or inference services
  
  
• Familiarity with Lightning AI, PyTorch Lightning, or similar frameworks is a plus
  
  

Customer-Facing Excellence

• • Ability to:
    
    
    • Explain complex infrastructure and ML tradeoffs clearly
      
      
    • Run technical discovery and uncover quantifiable success metrics
      
      
  • Experience working cross-functionally with:
    
    
    • Sales, product, and engineering teams

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow.

What You’ll Need

• Proficiency in React, JavaScript and TypeScript.
• Strong understanding of software engineering principles and lifecycle.
• Hands-on experience as a Frontend Engineer in a SaaS technology company.
• Proven ability to take ownership of key features and drive end-to-end development.
• Communication and collaboration with engineers, product managers, and designers.
• Ability to operate in high uncertainty and rapidly changing environments.

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

Do you want to be a part of the clean energy movement? Are you passionate about improving our environment for this generation and those to follow? Are you ready to take on new challenges and collaborate with a future-focused team leading the way into new markets? Join Nexamp! 

This is where you can learn from industry leaders and become one yourself. It's fast-paced, mission-based work that challenges the status quo. Be on the team that's changing the world. 

What we’re looking for: 

Nexamp is looking to hire a Lead Commissioning Engineering to join it's Clean Energy Deployment team. In this role, you will be responsible for ensuring that Nexamp projects are safely and reliably energized on schedule, moving through project milestones, including, Mechanical Completion (MC), Permission to Operate (PTO) and Substantial Completion (SC). You will leverage deep SCADA and data acquisition expertise across utility-scale and distributed generation projects to validate that assets perform as modeled and as represented to financing partners, banks, and utilities, and to close gaps in our growing SCADA pipeline. By owning the technical review and implementation of SCADA and related controls, you will help turn projects on, maintain critical deadlines, and confirm that operational performance aligns with contractual, market, and internal performance requirements. 

We are supporting hybrid work out of either our Boston, Chicago, or NYC offices. You will report to the Director, Commissioning Engineering. 

What you’ll do:

• Independently leading the commissioning of PV, Battery Energy Storage Systems (BESS) from pre-energization through project operational turnover.
• Acting as a primary troubleshooting resource for the Commissioning Engineering and Field Commissioning teams, providing expert level support on common electrical, protection, and SCADA/communications issues surfaced during commissioning and early operations.
• Managing project commissioning schedules in partnership with Deployment, SCADA, Engineering, and external contractors, ensuring that inverter, DAS, SCADA, BESS, and protection system commissioning stays aligned with construction and interconnection milestones.
• Providing remote support and occasional field support for DAS, inverter, BESS and SCADA commissioning as well as witness tests.
• Reviewing and validating site performance of assets once live, including managing or executing performance testing and identifying and troubleshooting underperformance.
• Lead Data Acquisition System (DAS) and Supervisory Control and Data Acquisition (SCADA) system design for PV, BESS, and hybrid PV+BESS (DC- and AC-coupled) projects, including interpreting market, utility, and ISO SCADA/telemetry and controls requirements and coordinating the procurement and installation of required telecom, hardware, and software infrastructure.
• Assist in the development of SCADA engineering standards for utility scale applications.
• Mentor and train junior commissioning team members and field technicians to increase their capabilities.
• Support continuous improvement of networking equipment, products, and quality assurance processes by conducting research, contributing to commissioning best-practices documentation, and actively sharing experience and best practices.

What you’ll bring: 

• Bachelor's degree in Engineering or equivalent education/certification background.
• At least 7 years of experience designing and commissioning electrical power systems, or network design.
• At least 4 years of experience in renewables such as Solar, Wind, and Storage,
• Experience in controls engineering for utility-scale renewable/hybrid energy, PV/BESS, (AC-coupled/DC-coupled systems) preferred.
• Knowledge of inverter parameter setting procedures.
• Knowledge and experience with technical communications protocols (Modbus/TCP, DNP3.0, etc.), commonly used controls software/hardware platforms, and communication standards (MESA, Sunspec, etc.).
• Working knowledge and hands-on experience with various relays, meters, SCADA Gateways, and Data Concentrators, experience with programming of RTACs, preferred.
• Expertise in commissioning and resolving site technical issues, proven success in independently troubleshooting challenging SCADA related technical issues.
• MS Word, Excel, and PowerPoint software proficiency.
• Knowledge of industry standard design codes and electrical engineering and relaying principles.
• Commitment to Nexamp's mission and have a passion for solving tomorrow's climate crisis today.
• Demonstrated experience in effectively communicating information, ideas, and perspectives with people inside and beyond your organization.   
• Experience in showcasing initiative to make improvements to current work, processes, products, and services across the organization. We value accountability and an ownership mentality.
• Ability to ask appropriate questions, analyze data, identify the root causes of problems, and present creative solutions.
• Expertise in building strong internal and external relationships with customers and stakeholders, instilling trust and loyalty across the industry.
• Eagerness to develop a fundamental understanding of how Nexamp operates and then apply that knowledge effectively to inform business decisions.    

If you don’t meet 100% of the above qualifications, but see yourself contributing, please apply.

At Nexamp, our mission is to build the future of energy so it is clean, simple, and accessible for all. We are committed to providing a work environment free from discrimination. We are proud to be an equal opportunity employer. We do not discriminate against applicants on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, veteran status, or any other basis protected by law. By encouraging a culture where ideas and decisions come from all people, we believe it will help us grow, innovate, and be a part of environmental and social change.

You’ll love working here because:  

Not only will you get to take part in meaningful work and have the chance to change the world alongside innovative, dedicated, and motivated peers, but you will also have access to all the benefits that Nexamp offers! This includes our competitive compensation package; a 401(k) employer-match; health, dental, and vision insurance starting day one; flexible paid time off and holiday PTO; commuter benefits, and cell phone reimbursement. We have headquarters in Boston, MA and Chicago, IL, in addition to growing offices nationwide. We provide healthy snacks, coffee, service days and other volunteer opportunities, company outings, and more!  

Compensation  

The reasonably estimated salary for this role at Nexamp ranges from $140,000 - $155,000. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual bonus programs based on individual and company performance, non-annual sales incentive plans, or other non-annual incentive plans). Additionally, you may be eligible to participate in the Company’s stock option plan. Actual base salary may vary based upon, but is not limited to, skills and qualifications, internal equity, performance, and geographic location. 

Nexamp's People team manages all aspects of recruitment and hiring within our organization. We want to inform third-party recruiters, staffing firms, and related agencies that Nexamp does not accept unsolicited resumes. Resumes will only be considered from these entities if a signed agreement is in place and the People team explicitly authorizes external recruiting assistance for a specific position. Any unsolicited resumes received will be deemed the property of Nexamp. We want to emphasize that Nexamp is not liable for any fees associated with unsolicited resumes. 

Do you want to be a part of the clean energy movement? Are you passionate about improving our environment for this generation and those to follow? Are you ready to take on new challenges and collaborate with a future-focused team leading the way into new markets? Join Nexamp! 

This is where you can learn from industry leaders and become one yourself. It's fast-paced, mission-based work that challenges the status quo. Be on the team that's changing the world.

What we're looking for:

Join Nexamp's mission to transform the energy landscape with your expertise as a Senior Interconnection Engineer. We are at the forefront of the renewable energy revolution, driving change and innovation in the renewable energy sector. If you're passionate about crafting a sustainable future and have a track record in the technical intricacies of interconnection, we want you on our team.  

We are seeking a detail-oriented Senior Interconnection Engineer with a robust technical background and proven experience in PV system design and interconnection. This role is vital for providing specialized support to project managers and ensuring that our projects are not only technically sound but also optimized for cost and efficiency. 

You will report to the Manager, Grid Integration Engineering (GRIT), and will work closely with internal teams, including Engineering, Business Development, Policy, and Asset Management, to develop and commission commercial and industrial renewable designs. You will be hybrid out of our New York City, Chicago, Boston, or Washington, DC office with some business travel to other locations.

What you'll do:

• Manage a portfolio of utility interconnection applications from initial submission through project closeout. 
• Function as a Subject Matter Expert (SME) on technical standards (i.e. IEEE 1547, NFPA 70, UL 1741, etc.) and requirements (utility) for Distributed Generation projects within an assigned geographic region.  
• Perform detailed review, analysis, QA/QC, and interpretation of technical documentation, utility interconnection applications, utility pre-screen reports, System Impact Studies, and Interconnection Service Agreements. 
• Provide expert technical advice during study reviews and deliver recommendations to internal teams on study outcomes. 
• Prepare interconnection cost estimation and hosting capacity map analyses to assist development in identifying low-cost interconnection locations. 
• Work alongside Project Managers on value engineering and cost optimization for projects. 
• Act as technical consulting support during negotiations and disputes regarding project timelines and costs for assigned projects. 
• Participate in the technical closure of projects, including field support along with reviewing witness tests and energization procedures. May also attend site visits and witness tests as required. The number of projects actively supported at a given time should be 70-80.  
• Lead and contribute to special projects aimed at refining internal processes and setting industry standards, with a focus on innovation in interconnection means and methods.  This may include (but not limited to) non-wires alternatives, selective curtailment, and other grid-enhancing technologies. 
• Building and managing key relationships with internal stakeholders, and driving strategic developments and insights  
• Leading comprehensive technical assessments to identify interconnection challenges in a given region and creating solutions to overcome technical hurdles (to improve project success). 
• Support technical working groups both internally and externally. 
• Participate in project design reviews; review of single line diagrams, three-line diagrams, and site layout designs for compliance with utility requirements, which may include incorporating any utility design requirements and/or effective grounding equipment. 
• Respond to RFIs on active construction projects as required. 
• Provide guidance and recommendations for navigating change with utilities. 
• Mentor Interconnection Engineers, sharing expertise and leading by example in all aspects of interconnection processes. 
• Support business development through pre-application activities such as site selection based on thorough analysis.
• Additional duties as assigned and/or directed. 

What you'll bring:

• 3+ years of relevant experience with a utility, solar developer, Regional Transmission Organization, or consultancy, focusing on technical aspects of interconnection or interconnection-related activities and issues. 
• Strong knowledge of industry standard design codes such as National Electric Code, International Building Code, International Fire Code and other standards relevant to the industry. 
• Bachelor’s Degree in Mechanical or Electrical Engineering. 
• Working knowledge in AutoCAD software.
• Moderate proficiency with Microsoft Word, Excel, and PowerPoint.
• Moderate proficiency with Microsoft collaboration tools (Salesforce, Teams, Power BI, SharePoint, etc.) 
• Ability to coordinate and prioritize multiple projects and tasks. 
• Ability to work in a team environment as well as work independently. 
• Valid Drivers License and EIT Certification.
• Commitment to Nexamp's mission and have a passion for solving tomorrow's climate crisis today.
• Demonstrated experience in effectively communicating information, ideas, and perspectives with people inside and beyond your organization.  
• Experience in showcasing initiative to make improvements to current work, processes, products, and services across the organization. We value accountability and an ownership mentality.
• Ability to ask appropriate questions, analyze data, identify the root causes of problems, and present creative solutions.
• Expertise in building strong internal and external relationships with customers and stakeholders, instilling trust and loyalty across the industry.
• Eagerness to develop a fundamental understanding of how Nexamp operates and then apply that knowledge effectively to inform business decisions.  

If you don’t meet 100% of the above qualifications, but see yourself contributing, please submit an application.  We encourage people from minority or marginalized groups to apply. 

At Nexamp, our mission is building the future of energy, so it is clean, simple, and accessible for all. We believe a diverse team brings different perspectives and experiences, thus benefiting our work. We are committed to providing a work environment free from discrimination. We are proud to be an equal opportunity employer. We do not discriminate against applicants on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, veteran status, or any other basis protected by law. By encouraging a culture where ideas and decisions come from all people, we believe it will help us grow, innovate, and be a part of environmental and social change. 

You’ll love working here because:  

Not only will you get to take part in meaningful work and have the chance to change the world alongside innovative, dedicated, and motivated peers, but you will also have access to all the benefits that Nexamp offers! This includes our competitive compensation package; a 401(k) employer-match; health, dental, and vision insurance starting day one; flexible paid time off and holiday PTO; commuter benefits, and cell phone reimbursement. We have headquarters in Boston, MA and Chicago, IL, in addition to growing offices nationwide. We provide healthy snacks, coffee, service days, and other volunteer opportunities, company outings, and more!

Compensation:  

The reasonably estimated salary for this role at Nexamp ranges from $120,000 - $135,000. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual bonus programs based on individual and company performance, non-annual sales incentive plans, or other non-annual incentive plans). Additionally, you may be eligible to participate in the Company’s stock option plan. Actual base salary may vary based upon, but is not limited to, skills and qualifications, internal equity, performance, and geographic location.

Nexamp's People team manages all aspects of recruitment and hiring within our organization. We want to inform third-party recruiters, staffing firms, and related agencies that Nexamp does not accept unsolicited resumes. Resumes will only be considered from these entities if a signed agreement is in place and the People team explicitly authorizes external recruiting assistance for a specific position. Any unsolicited resumes received will be deemed the property of Nexamp. We want to emphasize that Nexamp is not liable for any fees associated with unsolicited resumes.

About the Role

iCapital is looking for a Software Developer in Test to work on the iCapital platform. In this role, you’ll bring practical knowledge of agile development methodologies and engineering best practices. As a Software Developer in Test (SDET), you’ll work closely with the Development and Testing team. The ideal candidate would be a combination of a hands on developer who has some managerial experience, and who can understand existing automation test frameworks and has an ability to enhance and implement the same and should also be able to work with other engineers and product managers to support feature-based testing.

Responsibilities

• Build and implementation of robust automated test suites.
• Integration of automated test suites with the current build and deployment processes.
• Maintenance of automated tests to accommodate changes in system design and architecture.
• Integration of Automation framework with existing tools (JIRA).
• Create/Manage/Utilize Defect workflows with automated test execution.
• Design and publish meaningful metric to support automation test creation and execution.
• Build and implementation of performance test suites.
• Perform all types of testing – Functional. API, Automation, Performance and Load

Qualifications

• 8+ years of experience with QA engineering delivery experience
• 4+ years of delivery within Agile SDLC/teams ideally with CICD
• Programming experience in Java with focus on behavior driven development (BDD) and test-driven development (TDD) and design patterns, ideally within continuous integration (CICD)
• Experience with Java microservices and REST APIs and exposure to React front end
• Agile development approach
• Technologies: Java, JavaScript, IntelliJ/Eclipse
• CICD: Maven, Sonar, Git, Teamcity/Jenkins, Docker
• AI Integration experience preferred
• Exposure to banking and/or finance environments preferred
• Testing: Junit, Playwright, Protractor, JMeter or similar

The base salary range for this role is $110,000 to $145,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).  

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

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

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

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. 

About the role:

As Head of Partner Success at Parloa, you own the quality, scalability, and operational success of partner-delivered implementations. Your mission is to build and lead a high-performing Partner Success organization that ensures every partner-led deployment meets the same quality, reliability, and customer impact standards as Parloa-led projects.

You define how Parloa scales delivery through partners without compromising technical excellence or customer outcomes. This means establishing the operating model for partner implementation oversight, building strong enablement and governance frameworks, and ensuring that partners consistently deliver high-quality AI solutions on the Parloa platform.

Partner Success is the bridge between Partnerships, Professional Services, and Product. As Head of Partner Success, you ensure that partner scale strengthens the Parloa ecosystem.

Areas of ownership:

• Build the Global Partner Success Operating Model: Design and scale the Partner Success organization across regions, including TPM, Agent Architect, and Forward Deployed Engineer roles embedded within the partnership motion. Establish clear governance models, engagement rules, and escalation frameworks that ensure partner-delivered implementations meet Parloa’s quality bar. 
• Ensure Quality and Predictability in Partner-Led Delivery: Own delivery health across all partner-executed projects. Implement quality gates, readiness assessments, and technical architecture reviews to ensure partners deploy the Parloa platform correctly and consistently. Ensure go-live readiness and production stability across all partner implementations.
• Build and Develop a High-Performance Organization: Hire, coach, and develop the Partner Success team across regions. Build leadership capacity and clear growth paths for TPMs, Agent Architects, and FDEs. Establish strong accountability frameworks while maintaining a culture focused on technical excellence, collaboration, and partner enablement.
• Drive Partner Enablement and Capability Development: Work with cross-functional teams to create structured enablement programs that accelerate partner readiness and technical capability. Ensure programs emphasize best practices for agent design, platform integrations, and project delivery methodologies. Track partner capability maturity and ensure partners are prepared to lead implementations independently over time. 
• Ensure Technical and Implementation Standard Compliance for Partners:  Ensure consistency across partner-built solutions and reduce implementation variability across the ecosystem.
• Strengthen Partner and Executive Relationships: Serve as the executive technical counterpart to strategic implementation partners. Build trust with partner leadership and ensure strong alignment between Parloa delivery standards and partner implementation practices.
• Create Scalable Feedback Loops Between Partners and Product: Translate field insights from partner implementations into structured product feedback. Identify recurring implementation patterns and advocate for product improvements that reduce complexity and increase partner self-sufficiency.
• Own Partner Performance Metrics and Ecosystem Health: Define and track partner performance metrics such as implementation quality, delivery timelines, QA pass rates, and partner NPS. Establish reporting cadences with executive leadership and drive continuous improvement across the partner ecosystem. 

       Our Technology Stack: TypeScript, Node.js, Python, Microsoft Azure, Kubernetes, Terraform, ArgoCD, MongoDB

Who you are:

• Experience level: 10 to 15+ years in enterprise SaaS, AI platforms, professional services, or partner delivery roles with meaningful production responsibility.
• People leadership: 5+ years leading technical delivery, professional services, or partner success organizations, ideally leaders-of-leaders. Proven experience building high-performing teams and scaling operational capacity across regions.
• Organizational leadership: Experience designing and scaling partner delivery models or ecosystem support functions. Ability to build processes, frameworks, and governance structures that enable partners to deliver at enterprise scale.
• Partner Ecosystem Experience: Deep experience working with system integrators, implementation partners, or consulting firms. Strong understanding of partner enablement, certification programs, and partner performance management.
• Enterprise Delivery Track Record: Demonstrated success overseeing complex enterprise deployments involving multiple stakeholders and delivery teams. Experience managing both direct and partner-led implementation programs.
• Technical Breadth and Platform Understanding: Strong understanding of enterprise software architectures, integrations, and cloud-based platforms. Ability to engage credibly with technical teams on AI systems, integrations, and enterprise platform deployments.
• Strategic product thinking: Ability to identify patterns across partner implementations and translate them into product improvements or platform capabilities. Strong intuition for what should be standardized versus left flexible for partners.
• Operational excellence: Strong planning, prioritization, and risk management capabilities. Ability to build scalable processes that maintain quality without introducing unnecessary operational overhead.
• Executive presence: Confident communicator with the ability to engage partner executives, technical leaders, and internal stakeholders. Comfortable representing Parloa in executive discussions around delivery, partner performance, and ecosystem strategy.
• Strong plus: AI / LLM-based systems and conversational AI platforms, Telephony and contact center infrastructure (PSTN, SIP), Partner-driven enterprise software ecosystems, Scaling global system integrator relationships

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview(s) → Bar Raiser

Comp Range Includes OTE

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

About the Role:

The position of the Data Engineer will be part of the Partner Revenue team that develops and deploys data platforms for advanced analytics and data processing. The Data Engineer defines and builds the data pipelines to promote faster, better, data-informed decision-making within the business.

The role is a hybrid position requiring 3 days a week in the office. You will report to the Director of Partner Revenue Technology.

Responsibilities:

• You will develop scalable data and ETL solutions
• You will develop scalable data platform components
• You will support existing platforms and implement data pipelines that ingest, transform, and curate data
• You will support any future migrations to new platforms using cloud-based technologies
• Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world

Basic Qualifications:

• 2+ years knowledge and experience in SQL for querying and data modeling
• 2+ years experience with any ETL frameworks or tools preferably Pentaho Data Integration or similar tools
• Demonstrated programming skills in Python and Shell scripting or similar language

Preferred Qualifications:

• Knowledge in data modeling and data warehouse concepts and have technical abilities to develop and debug complex code using AWS/GCP cloud infrastructure
• Experience with ETL Tools, Shell scripting, SQL, Python, Java, Airflow, dbt with the understanding of data flows, data warehouse architecture, ETL concepts and processing of structured and unstructured data
• Proven knowledge of CI/CD practices and version control (Git)
• Demonstrated ability to code with VSCode or similar IDE tools with the ability to use AI coding assistant tools such as cursor and github copilot

Since 1851, The New York Times' mission has been to seek the truth and help people understand the world. Whether it's bringing new truths to light through reporting, finding the perfect side dish to pair with dinner, or challenging yourself with the Sunday crossword, our mobile apps bring this mission right to our subscribers' hands. Our Android apps are progressive and innovative. Our teams advocate for the best approach to building apps and look to the future by participating in Early Access Programs.

Our mobile teams sit at the intersection of our mission. We’re looking for Android Engineers across several teams to help us take our apps to the next level. Some of the opportunities include:

• Build engaging features to improve the reader experience in our flagship News app
• Maximize subscriber value within our Growth Platform
• Apply the latest trends in native and hybrid development to create engaging experiences on our Games team
• Help users discover and cook the world's best recipes on the Cooking team
• Build the foundational technologies that empower all mobile teams by joining the App Platforms team

This is a hybrid role, based at our New York City headquarters, reporting to the Mobile Engineering Manager and collaborating with native Android and iOS engineers, QA, product, project, data, and design professionals.

Responsibilities:

• Build and ship Android features by enhancing existing code and creating new functionality from scratch
• Write clean, maintainable Kotlin code using Jetpack Compose and Coroutines
• Participate in code reviews and write unit tests; collaborate with QA to enable robust automated functional tests
• Contribute to app architectural decisions, documentation, technical roadmap and timeline estimations
• Integrate with internal NY Times services and external third-party APIs
• Stay current on Android technologies, best practices, and AI tooling for mobile development
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 2+ years of professional Android development experience using Kotlin, Jetpack Compose, and Coroutines
• Knowledge of Git/GitHub and best practices for peer code review
• Experience with the mobile app release process, build tools, and continuous integration
• Knowledge of Android UI concepts (layouts, themes, styles, views) and Material Design guidelines
• Experience with Agile software development practices
• Understanding of dependency injection
• Proven focus on app performance, quality, and responsiveness

Preferred Qualifications:

• Knowledge of Android UI concepts (layouts, themes, styles, views) and Material Design guidelines
• Experience working on a mobile platform team
• Experience working with a distributed team and an understanding of how to make the most of asynchronous collaboration

This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Hybrid (REQ-019877)

About the Role, Mission or Department Overview

The New York Times is looking for a Software Engineer to join the Programming team. You will report to the Senior Engineering Manager, Programming and work with a team of engineers and cross-functional partners to build tools to support the newsrooms and bundled brands of the NY Times.

The Programming team is building the next generation homepage programming systems for the newsroom editors who curate The New York Times homepage every day. We're building an entirely new version of our editorial process and the applications that power it, while maintaining all of our mission-critical standards for publishing news. This team will partner with other technology teams across the company to build these new tools for our journalists. The new Programming tools will make variants, curation, algorithmic programming, and experimentation much easier, improving the editing team's workflow.

Responsibilities:

As a Software Engineer on the Programming team, you will:

• Collaborate with product, design, other engineers, and newsroom partners to develop editorial tools for programmed surfaces, ensuring we align technical choices with our goals and editorial workflows.

• Develop new features and improve existing components from requirements gathering through design, implementation, QA, deployment, and monitoring

• Build reliable, secure, and observable features, while identifying bugs or technical debt within the team's domain

• Review code written by other software engineers on the team and provide feedback

• Contribute to and advocate for testing strategies to ensure service reliability

• Partner with other engineers to deploy and operate new features in production

• Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 2+ years of software engineering experience; demonstrated ability to write correct, clean, and reusable code that is easily maintainable by other team members.

• 2+ years of experience with JavaScript

• Fluency in HTML and CSS; able to apply design systems and integrating UI components from shared libraries

• Experience looking for feedback to improve as an engineer and supporting the growth of peers through helpful code reviews

• Demonstrated experience working collaboratively as a part of a cross-functional team

Preferred Qualifications:

This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Hybrid

REQ-019524

About the Role, Mission or Department Overview

The New York Times is looking for a Senior QA Engineer to join our Games team. You will be at the heart of our mission to deliver immersive, world-class gaming experiences. You will lead our offshore QA partners, refine manual testing processes, and architect automation frameworks that ensure the quality of our diverse games suite.

As a Senior member of the team, you will advocate for a "shift-left" testing philosophy - collaborating with Product, Design, and Engineering from the initial creative phase through the entire development lifecycle. You'll join a culture that values transparency, diversity, and learning.

You will report to the Senior QA Manager.

Responsibilities:

• Architect and build a comprehensive testing strategy that balances manual oversight of offshore teams with the development of scalable automation.
• Develop automated test suites using Playwright for web and XCUITest/Espresso for mobile apps.
• Partner early with Product, Design, and Engineering to identify potential issues during the requirements and design phases, ensuring you bake quality in from the start.
• Be a primary contact for our offshore QA crew, providing technical guidance, reviewing test plans, and ensuring high-quality execution.
• Identify bottlenecks in the development lifecycle and implement process improvements to increase release velocity without sacrificing quality.
• Work within an Agile environment to provide clear, relevant feedback and bug reports, participating in code reviews and sprint planning.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 5+ years of experience in software quality engineering, with at least 2 years in a Senior or Lead capacity.
• Experience building and scaling test frameworks using Playwright (or equivalent experience with Cypress or Selenium).
• Hands-on experience with native mobile automation tools, specifically XCUITest (iOS) and Espresso (Android).
• Command of at least one modern programming language (e.g., JavaScript/TypeScript, Swift or Kotlin).
• Experience with exploratory testing, regression testing, and test case management.
• Experience collaborating and communicating with cross-functional teams.

Preferred Qualifications:

• Previous experience testing mobile or web-based games, including familiarity with multi-player games and UI/UX consistency.
• Experience integrating automated tests into deployment pipelines (e.g., GitHub Actions, Drone, or Terraform).
• Familiarity with tools like k6, JMeter, or Postman to test backend reliability and load capacity.
• Experience with cloud-based testing platforms like BrowserStack or Sauce Labs.
• Interest in the evolving AI landscape, with a willingness to explore, pilot, and implement AI-assisted tools that enhance our development and testing processes.
• A growth-oriented mindset: You embrace technical challenges, learn from mistakes, and are eager to share your findings to help the whole team level up.

This is a hybrid remote/in-office role based in our New York headquarters.

#LI-Hybrid

REQ-019767

Since 1851, The New York Times' mission has been to seek the truth and help people understand the world. Whether it's bringing new truths to light through reporting, finding the perfect side dish to pair with dinner, or challenging yourself with the Sunday crossword, our mobile apps bring this mission right to our subscribers' hands. Our Android apps are progressive and innovative. Our teams advocate for the best approach to building apps and look to the future by participating in Early Access Programs.

Our mobile teams sit at the intersection of our mission. We’re looking for Senior Android Engineers across several teams to help us take our apps to the next level. Some of the opportunities include:

• Build engaging features to improve the reader experience in our flagship News app
• Maximize subscriber value within our Growth Platform
• Apply the latest trends in native and hybrid development to create engaging experiences on our Games team
• Help users discover and cook the world's best recipes on the Cooking team
• Build the foundational technologies that empower all mobile teams by joining the App Platforms team

This is a hybrid role, based at our New York City headquarters, reporting to the Mobile Engineering Manager and collaborating with native Android and iOS engineers, QA, product, project, data, and design professionals.

Responsibilities:

• Build and ship Android features by enhancing existing code and creating new functionality from scratch
• Mentor other Android engineers and support their growth
• Write clean, maintainable Kotlin code using Jetpack Compose and Coroutines
• Participate in code reviews and write unit tests; collaborate with QA to enable robust automated functional tests
• Contribute to app architectural decisions, documentation, technical roadmap and timeline estimations
• Integrate with internal NY Times services and external third-party APIs
• Stay current on Android technologies, best practices, and AI tooling for mobile development
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world

Basic Qualifications:

• 5+ years of professional Android development experience using Kotlin, Jetpack Compose, and Coroutines
• Knowledge of Git/GitHub and best practices for peer code review
• Experience with the mobile app release process, build tools, and continuous integration
• Knowledge of Android UI concepts (layouts, themes, styles, views) and Material Design guidelines
• Experience with Agile software development practices
• Understanding of dependency injection
• Proven focus on app performance, quality, and responsiveness

Preferred Qualifications:

• Knowledge of Android UI concepts (layouts, themes, styles, views) and Material Design guidelines
• Experience working on a mobile platform team
• Experience working with a distributed team and an understanding of how to make the most of asynchronous collaboration

This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

REQ-019441

About the Role

The Reflections team at The New York Times is looking for a Backend Software Engineer. You will be part of a diverse team that includes native mobile engineers, web/backend engineers, QA, product managers, designers and data experts.

The Reflections team focuses on personalizing the Times experience, making it feel "yours." We aim to help users effortlessly discover and regularly engage with the journalism they value most, strengthening. and deepening their relationship with the Times.

This role is hybrid, located at our New York City headquarters, and typically requires coming into the office two days per week.

Responsibilities:

• Collaborate with design, product, web, backend, and native mobile engineers to refine requirements and develop new features across our platform.
  
  
• Design, build, and maintain backend services primarily in Go (Golang), developing scalable REST or GraphQL APIs and writing high-quality, production-ready code following engineering best practices.
  
  
• Develop and improve Go-based services and microservices, integrating with databases, internal systems, and cloud infrastructure.
  
  
• Contribute ideas that help shape the direction of our products and actively participate in solving meaningful technical challenges.
  
  
• Participate in technical discussions and architecture decisions with native mobile, web, and backend engineers, as well as owners of internal and external dependencies.
  
  
• Work across multiple parts of the stack when needed while maintaining a strong focus on backend service development in Go.
  
  
• Provide production support by participating in on-call rotations for the services and systems we build.
  
  
• Contribute to iteration on internal team processes and norms.
  
  
• Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.
  
  
• You will report to the Engineering Manager
  
  

Basic Qualifications:

• 3+ years of full-time experience developing backend APIs using Go (Golang), including building REST or GraphQL services in production environments. Experience with additional backend technologies such as TypeScript, Node.js, or Express is a plus.
  
  
• 3+ years of experience working with SQL or NoSQL databases, such as PostgreSQL or DynamoDB, including designing schemas, writing queries, and integrating data storage with backend services.
  
  
• 3+ years of experience building and deploying services on public cloud platforms, such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
  
  
• Experience working in Agile software development environments, collaborating with cross-functional teams through iterative development, testing, and release cycles.

Preferred Qualifications:

• Familiarity with GraphQL.
  
  
• Familiarity with containers and container orchestration systems like Kubernetes, Docker.
  
  
• Familiarity with CI/CD techniques and tooling (e.g. Jenkins, drone), automated testing and deployments, and other DevOps practices.
  
  
• Understanding of caching and content delivery.
  
  

This role will require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. This role also requires availability to our core working hours which are 10am - 6pm ET.

#LI-Hybrid

REQ-019607

Since 1851, The New York Times' mission has been to seek the truth and help people understand the world. Whether it's bringing new truths to light through reporting, finding the perfect side dish to pair with dinner, or challenging yourself with the Sunday crossword, our mobile apps bring this mission right to our subscribers' hands. Our Android apps are progressive and innovative. Our teams advocate for the best approach to building apps and look to the future by participating in Early Access Programs.

Our mobile teams sit at the intersection of our mission. We’re looking for Android Engineers across several teams to help us take our apps to the next level. Some of the opportunities include:

• Build engaging features to improve the reader experience in our flagship News app
• Maximize subscriber value within our Growth Platform
• Apply the latest trends in native and hybrid development to create engaging experiences on our Games team
• Help users discover and cook the world's best recipes on the Cooking team
• Build the foundational technologies that empower all mobile teams by joining the App Platforms team

This is a hybrid role, based at our New York City headquarters, reporting to the Mobile Engineering Manager and collaborating with native Android and iOS engineers, QA, product, project, data, and design professionals.

Responsibilities:

• Contribute to the design and development of new features in our Android applications using Kotin and Jetpack Compose.
• You will work closely with product, project, design, data, QA, and other engineers to participate in product development.
• Participate in code reviews and willingness to learn from constructive feedback
• Assist in debugging and fixing bugs to ensure a high-quality user experience.
• Collaborate with internal NYTimes services and external APIs

Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

• Experience with Android engineering fundamentals, including writing testable code, networking, data persistence, and UI
• Basic proficiency in Kotlin
• Demonstrated understanding of Android design patterns
• Experience with layouts, themes, styles, views, and other Android UI concepts

• Prior professional Android engineering experience through internships, apprenticeships, or full-time employment
• Experience with modern Android technologies such as Jetpack Compose and Coroutines

This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

Since 1851, The New York Times' mission has been to seek the truth and help people understand the world. Whether it's bringing new truths to light through reporting, finding the perfect side dish to pair with dinner, or challenging yourself with the Sunday crossword, our mobile apps bring this mission right to our subscribers' hands. Our iOS apps are progressive and innovative. Our teams advocate for the best approach to building apps and look to the future by participating in Early Access Programs.

Our mobile teams sit at the intersection of our mission. We’re looking for iOS Engineers across several teams to help us take our apps to the next level. Some of the opportunities include:

• Build engaging features to improve the reader experience in our flagship News app
• Maximize subscriber value within our Growth Platform
• Apply the latest trends in native development to create engaging experiences on our Games team
• Help users discover and cook the world's best recipes on the Cooking team
• Build the foundational technologies that empower all mobile teams by joining the App Platforms team

This is a hybrid role, based at our New York City headquarters, reporting to the Mobile Engineering Manager and collaborating with native iOS and Android engineers, QA, product, project, data, and design professionals.

Responsibilities:

• Build and ship iOS features by enhancing existing code and creating new functionality from scratch
• Write clean, maintainable code using Swift and SwiftUI
• Mentor other iOS engineers and support their growth
• Participate in code reviews and write unit tests; collaborate with QA to enable robust automated functional tests
• Contribute to app architectural decisions, documentation, technical roadmap and timeline estimations
• Integrate with internal NY Times services and external third-party APIs
• Stay current on iOS technologies, best practices, and AI tooling for mobile development
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world

Basic Qualifications:

• 2+ years of professional native iOS development experience using Swift
• iOS design patterns, memory management, and multi-threading, such as SwiftUI, UIKit, Combine, MVVM/MVI, and CoreData/GRDB
• Knowledge of Git/GitHub and best practices for peer code review
• Experience with the mobile app release process, build tools, and continuous integration
• Experience with Agile software development practices
• Understanding of dependency injection
• Proven focus on app performance, quality, and responsiveness

Preferred Qualifications:

• Knowledge of iOS UI concepts (layouts, themes, styles, views) and Material Design guidelines
• Experience working on a mobile platform team
• Experience working with a distributed team and an understanding of how to make the most of asynchronous collaboration

This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

REQ-019914

About the Role

The Quality Engineering team at The New York Times is hiring a QA Engineer. You will work with software engineers, DevOps, product managers, and designers to support quality across our web, mobile, and API platforms.

You will develop automated test frameworks, strengthen CI/CD reliability, and improve release confidence through scalable automation practices.

This role is hybrid and based in New York City, with an expectation of two days per week in the office. You will report to the Senior QA Manager.

Responsibilities:

• Design automated testing frameworks in Python for APIs, web, and mobile applications
• Develop and integrate automated test workflows into CI/CD pipelines
• Improve test reliability, execution speed, and coverage across environments
• Develop scalable test environments using containerization and cloud infrastructure
• Collaborate with engineering, DevOps, and product teams to define test strategies early in the development lifecycle
• Integrate logging, monitoring, and metrics into testing workflows to improve defect detection and release confidence
• Contribute to documentation and standards for automation and TestOps

Basic Qualifications:

• 3 years of experience in test automation, software engineering, or quality engineering
• Proficiency in Python and experience building maintainable automation frameworks
• 3 years of experience with modern test automation tools such as PyTest, Playwright, Selenium, or Appium
• 3 years of experience testing REST, GraphQL, or gRPC APIs
• Hands-on experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI)
• 3 years of experience with Docker and familiarity with Kubernetes
• 3 years of experience working in cloud environments (AWS, GCP, or Azure)

Preferred Qualifications:

• Experience with mobile test automation
• Experience with test environment provisioning and infrastructure-as-code
• Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude) in software development workflows
• Experience improving observability or quality metrics within engineering teams

#LI-Hybrid

REQ-019672

Minimum Requirements:

Our Global Mid-Market (MM) Revenue Strategy & Operations (RSO) team is seeking a Global Mid-Market Strategy & Operations lead to partner closely with cross functional partners to improve the demand generation ecosystem. This role will sit at the intersection of MM Sales, RTech, Central Ops, and MarOps, with a core focus of improving the demand generation engine for mid market.   This includes in depth analyses,  lead flow improvements, automation, (e.g., Gong, Salesforce), seller enablement and other areas that are critical to improving conversion rates.

This is a highly strategic and operational, hands-on role: you will be responsible for how leads move through our systems and how we continuously improve workflows to drive pipeline and revenue.

Location: New York City office three days a week

Responsibilities

Strategy & Continuous Improvement

• Support the development of the global MM demand generation strategy through analysis, experimentation, and structured recommendations.
• Propose and run test-and-learn initiatives to improve lead quality, routing, and seller productivity, with clear measurement and readouts.
• Identify root causes and opportunities to drive up conversion rates

Workflow Automation & Process Reliability

• Build and scale automated workflows in partnership with Marketing Ops, Central Ops and Sales (e.g., lead scoring, routing, follow-up cadences) that reduce manual work for sellers and increase speed-to-contact.
• Monitor daily system health, troubleshoot issues in SFDC, Gong, and related tools, and ensure high-fidelity data and process reliability.
• Act as a first-line problem solver for MM sales managers and reps on lead-flow and tooling issues, turning repeated pain points into scalable process or automation fixes.
• Translate qualitative feedback from the field into structured problem statements and prioritized solutions and work with cross functional teams to solve.

Outreach & Sequence Optimization

• Collaborate with Marketing and acquisition managers to engineer and iterate outreach sequences and playbooks that align to campaigns and MM objectives.
• Use Gong and other tooling to track performance, A/B test approaches, and recommend optimizations that improve conversion through the funnel.

Tooling, Reporting & Dashboard Ownership

• Ability to create reporting and run analyses to identify leads blockers 
• Partner with RTech, Central Ops, and Analytics to define requirements for dashboards that give clear visibility into lead volume, quality, conversion, and SLA adherence.

Knowledge Sharing

• Serve as the subject matter expert on leads flows, automation and tooling. 
• Document and socialize best practices and learnings from MM programs, and help “lift and shift” successful motions across regions and segments where appropriate.

Qualifications

Experience:

• 5+ years of experience in revenue operations, sales operations, marketing operations, program management, or similar roles, ideally within B2B or ads businesses.
• Demonstrated experience owning or operating lead funnel processes (lead routing, scoring, SDR/AE workflows, or marketing automation).

Technical & Data Skills:

• Hands-on experience with Salesforce (SFDC) and at least one of: Gong, marketing automation platforms, or sales engagement tools.
• Strong skills in Excel/Sheets and comfort working with large datasets; experience with SQL.

Operational Excellence:

• Proven track record of designing, documenting, and improving workflows that increase efficiency and reduce operational risk.

Cross-Functional Collaboration:

• Experience working across Sales, Marketing, Ops, and Analytics/Engineering teams, with the ability to translate business needs into technical or process requirements.
• Strong stakeholder management skills; able to balance global consistency with regional nuances.

Problem Solving & Communication:

• Structured, analytical thinker who can quickly get to the root cause of operational issues and propose pragmatic solutions.
• Excellent written and verbal communication, capable of simplifying complex systems for non-technical audiences.

Mindset & Culture Fit:

• Comfortable operating in ambiguous, fast-moving environments and shifting between strategy and execution.
• Service-oriented and collaborative; energized by enabling others to be more productive.
• Growth and experimentation mindset – willing to test, learn, and iterate to find what works best for Reddit’s MM business.

The iOS Platform team sets the technical direction for iOS at Reddit. Our customers are primarily other engineers. It’s our job to help improve developer efficiency by providing libraries/APIs/frameworks, monitoring performance, building shared components, improving build tools, etc. In the codebase, we own the core components of the app such as the networking and caching stack. We set the direction in which the codebase builds by defining which design patterns and technologies to employ at Reddit.

This role will enable us to architect our iOS app to scale for the next 100M+ DAUs. They will help establish the right standards in iOS development and will help in improving the overall iOS development experience at Reddit. In addition, they will mentor senior iOS engineers across Reddit and will be seen as a go-to person for any challenges on iOS App architecture.

As a Principal Engineer in the iOS Platform team, you will be responsible for designing a solid foundation for our iOS application development. You will have the company-wide scope, impact, and responsibility in shaping the future of iOS development at Reddit. You will champion the technology selection, best practices in Reddit’s iOS application development. In addition, you will act as an Architect for the iOS application at Reddit.

What you’ll do

• Own the architecture of Reddit’s iOS Mobile App and make it scale to the next 100M+ DAUs. Propose ideas/solutions to reach our vision of “making Reddit’s Mobile Apps best-in-class.”
• Identify the gaps in our current iOS App Architecture, and lead redesign of the iOS platform to improve modularity, performance, and quality.
• Define, measure, and execute on key user-facing performance goals, specifically minimizing App Not Responding (ANR) rate, reducing app launch time (Time to Interactive/TTFF), and eliminating slow/dropped frames.
• Improve observability and harden data quality for all key performance areas, including establishing reliable telemetry, monitoring, and guardrails for ANR rate, app launch time, and slow/dropped frames.
• Drive a company-wide culture of performance, ensuring that every iOS engineer at Reddit has the tools and skills needed to own the performance of their product surfaces.
• Mentor iOS developers across the company.
• Be the go-to person for developers on complex problems in iOS development.

What we expect from you

• Deep experience-based understanding of how to build mobile applications at scale.
• You are a strategic thinker who thrives on developing a long-term technical foundation and has a passion for developing scalable, well-designed software that improves people’s lives globally.
• 10+ years of Software development experience with at least 5+ years in designing/developing iOS applications. 
• Experience in influencing larger (200+ engineers) organizations on technical direction/best practices related to iOS
• Experience with modern iOS development frameworks such as Swift UI and structured Concurrency.
• Passion for developing scalable, well-designed software that improves people’s lives globally. 
• Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences.
• Bachelor's degree or higher in Computer Science or a related field, or equivalent technical expertise

Benefits:

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

The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines.

Responsibilities: 

• Help in building an Engineering culture that enables quality in all software feature development teams across Reddit.
• Develop and evolve test automation frameworks, tools, and services.
• Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing
• Maintain test infrastructure stability in non-production environments.
• Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution.
• Influence the entire engineering organization on unit/integration/end-to-end tests.

Required Qualifications: 

• 5+ years of experience as an SDET, or as a Software Engineer for Android platform
• 3+ years in Android development
• Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications
• Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin.
• Preferred experience in JetPack Compose.
• Experience in unit, snapshot, and end-to-end testing of Android applications
• Experience in building test frameworks and automated tests for native Mobile applications 
• Strong understanding of CI/CD process and quality checks in the workflow.
• Strong understanding of QA methodologies for mobile applications releases. 
• Working proficiency and communication skills in verbal and written English.

Benefits:

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

Senior Quality Assurance Engineer wanted by publishing company in Yonkers, NY.

Salary: $145,000 per year.

Apply online at https://job-boards.greenhouse.io/consumerreports

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

What You Will Be Doing

• Own the retention program roadmap, translating strategic direction into a prioritized, sequenced plan with clear milestones
• Drive concurrent retention initiatives across customer touch points, such as email, push, in-app, SMS, and direct mail, with minimal oversight
• Establish and maintain a repeatable experimentation cadence tied directly to Lifecycle OKRs
• Surface insights and communicate impact and opportunities to stakeholders clearly and proactively

• Own technical buildout and maintenance of lifecycle programs in enterprise ESP platforms - including complex journeys, API-triggered sends, segmentation, personalization, and A/B testing
• Lead significant work streams during platform migrations and infrastructure projects, including journey rebuilds and QA
• Own HTML email builds, template management, and platform documentation
• Identify and resolve technical bottlenecks independently and with technical stakeholders

• Serve as the primary lifecycle point of contact for Product, Growth, Creative, Data, and Eng on retention initiatives
• Manage stakeholders, timelines, feedback loops, and launch readiness across teams

You Will Be a Good Fit If You

• Have 5+ years of experience in lifecycle, retention, or marketing automation - with at least 2 years owning a channel or program end-to-end
• Are deeply comfortable in enterprise lifecycle platforms - Braze or Iterable experience strongly preferred; Customer.io also relevant
• Have navigated a platform migration or major technical transition before
• Are operationally excellent: you build process, document everything, and don't let things fall through the cracks
• Are technical enough to build complex journeys, understand data architecture, and work fluently with Eng - without being an engineer yourself

Employment Type: Full Time, Exempt
Base Compensation: The base compensation range for this position is $144,000–$168,000 USD Annually
This is a hybrid role with the expectation to work onsite from our NYC hub location three days per week (Tuesday, Wednesday, and Thursday) and travel 2–3 times per year (e.g., company and department offsites).

The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location.

If you do not meet every single requirement but are excited about the role, we encourage you to apply. At Grow, we know the strongest candidates bring more than what is listed on a resume.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience             

Think you’re a good fit for this job? 

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

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

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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

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

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

Overview

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

What We offer:

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

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role:

As a Senior Cloud Support Engineer at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind.

In this role, you will:

• Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave.
• Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA).
• Develop and deliver training sessions to improve the team’s proficiency and efficiency in resolving customer issues.
• Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes.
• Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices.
• Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions.
• Contribute to refining processes, workflows, and playbooks for handling complex customer challenges.
• Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches.
• Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides.
• Enhance the support team’s knowledge of CoreWeave’s products and services through continuous learning initiatives.
• Includes consistent shift work with participation in on-call rotations. Occasional after-hours and holiday coverage required.

Who You Are:

• Have a Bachelor’s degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position
• At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles
• Proven hands-on work experience with Kubernetes
• Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration
• Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback
• Experience with observability tools such as Grafana
• Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes
• Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes
• Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences
• Strong technical presentation skills, with experience delivering precise, engaging, and informative presentations to technical and non-technical audiences, effectively showcasing complex concepts and solutions

Preferred:

• CKA Certified 
• Demonstrated experience with training, coaching, and creating onboarding materials.
• Operates in a fast-paced, global, 24/7 support team environment
• Ability to collaborate across different time zones
• On-site office environment, hybrid, or remote options depending on location
• Flexible to travel up to 10% (~25 days/year)

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to dive into problems, test for solutions, and enjoy engaging with customers.
• You’re curious about AI.
• You’re an expert in providing outstanding technical support and have strong competencies in Kubernetes and Linux.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What you'll do:

CoreWeave is seeking a highly skilled and motivated HPC Performance Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will play a crucial part in the design, development, and optimization of our bare-metal systems from POST through joining a Kubernetes cluster. The team’s primary responsibilities include maintaining a custom Linux kernel, various OS images (Ubuntu-based), the virtualization stack (kubevirt/qemu/vfio), and the container/pod runtime stack (containerd/nydus/kubelet). You will collaborate closely with cross-functional teams, up stack engineering teams, and stakeholders to ensure our low-level software stack is performant in the context of hardware updates; and providing data, metrics, dashboards, and analysis to substantiate performance assertions.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team’s Stack:

• Python, Go, bash/sh, C
• Prometheus, Victoria Metrics, Grafana
• Linux Kernel (custom build), Ubuntu
• Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Docker, kubernetes (k8s), KubeVirt, containerd, kubelet

About the role:

• Develop and maintain tools for establishing systems performance baselines 
• Develop and maintain performance regression analysis testing automation
• Design and maintain performance regression test pipelines for HPC workloads
• Debug and Tune fabric-level performance to ensure low-latency high throughput configurations
• Development of telemetry for performance analysis across distributed clusters of servers
• Triage and fix performance issues in Linux
• Collect data, produce metrics and visualizations that communicate performance information compared to benchmarks; this data should lead to appropriate business decisions and toward greater automation that improves customer experience in relation to performance
• Define Linux and OS requirements, specifications, and system architecture in relation to systems performance, in collaboration with cross-functional teams. Along with these responsibilities there will also be cross team collaboration to triage and resolve bottlenecks

Who you are:

• 5+ years of professional experience in Systems/HPC Performance Engineering, Benchmarking, and/or Validation.
• Strong experience with MPI workloads and distributed system performance analysis
• Familiarity with RoCE, InfiniBand, and GPUDirect/Data Direct I/O, NUMA, etc in HPC workloads
• Hands-on use of public HPC benchmarks (HPCC, HPL, OSU, MLPerf-HPC, STREAM, IO500)
• Extensive, deep experience in Linux internals
• Fluency with a programming language geared toward automation (Python preferred, but others possible)
• Experience writing robust, testable code
• Experience diagnosing and fixing systems performance issues
• Experiencing with implementing automation testing
• Ability to effectively prioritize and communicate proposed features and fixes in a remote-employee environment
• Strong passion for automation, with a commitment to automating processes comprehensively
• Excellent documentation skills and attention to detail
• Strong analytical and problem-solving abilities

Preferred:

• Familiarity with QA/QE best practices
• Familiarity with Golang
• Opinions about software version control and team collaboration 
• Experience working in Cloud environments
• Experience as a software engineer writing large-scale applications
• Experience in open-source community software development
• Experience with machine learning is a huge bonus

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do

As a Firmware Engineer, you’ll focus on AMI SPX-based BMC firmware development for GB200 server platforms. You’ll collaborate with cross-functional teams to develop, enhance, and optimize embedded firmware modules that power CoreWeave’s large-scale data center deployments.

Key Responsibilities

• Develop & Maintain: Contribute to the design, implementation, and testing of BMC firmware in AMI SPX environments using C.
• Integrate: Work cross-functionally with hardware, software, and QA teams to ensure seamless firmware-hardware integration.
• Debug & Optimize: Perform issue triage, root-cause analysis, and implement bug fixes and performance improvements.
• Testing & Validation: Conduct firmware validation across multiple hardware revisions and test environments.
• Document: Produce clear and maintainable documentation for code, configurations, and testing procedures.
• Collaborate & Learn: Work alongside senior engineers to expand your expertise in firmware stack design, Redfish, and system-level architecture.

Who You Are

Minimum Qualifications

• 2+ years of Hands-on experience with AMI MegaRAC/SPX firmware.
• 2+ years of professional experience in embedded systems or firmware development with a Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.
• Proficiency in C and embedded development workflows.
• Familiarity with Linux, Git, and debugging tools (GDB, JTAG, or equivalent).
• Understanding of hardware interfaces (I2C, SPI, UART) and firmware build systems.
• Awareness of BMC architectures, DMTF Redfish, and IPMI standards.
• Strong debugging and analytical skills with an attention to detail.
• Effective collaborator in a cross-functional, fast-paced environment.

Preferred Qualifications

• Exposure to GB200 or other NVIDIA Grace Hopper server platforms.
• Experience scripting in Python or Bash for testing or automation.
• Familiarity with Jenkins or similar CI/CD environments.
• Contributions to open-source firmware or embedded projects.

The base salary range for this role is $109,000 to $160,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave’s Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack.

This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team’s Stack:

• Python, Go, bash/sh, C
• Prometheus, Victoria Metrics, Grafana
• Linux Kernel (custom build), Ubuntu
• Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Docker, kubernetes (k8s), KubeVirt, containerd, kubelet

Focus Areas:

• Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes.
• Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement).
• Stack-Wide Support – Ensure kernel support and stability across:
• Virtualization (KubeVirt, QEMU, vFIO)
• Container runtimes (containerd, nydus, kubelet)
• HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand)
• Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs.
• Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.

About the role:

• Triage and fix kernel crashes and performance regressions.
• Develop, test, and upstream kernel patches relevant to CoreWeave’s hardware/software environment.
• Collaborate with hardware vendors and the Linux community on feature enablement.
• Implement diagnostics and tooling for kernel-level observability.
• Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads.
• Provide kernel-level expertise during incident response and root-cause investigations.

Who You Are:

• 5+ years of professional experience in Linux kernel engineering or systems-level development.
• Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers).
• Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump.
• Strong C programming skills with the ability to write maintainable and upstream-quality code.
• Experience working with kernel modules, drivers, and subsystems.
• Strong problem-solving abilities with a “full-stack” systems perspective.

Preferred:

• Contributions to the Linux kernel or related open-source projects.
• Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes.
• Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning).
• GPU/DPU bring-up and driver experience.
• Experience in HPC or large-scale distributed systems.
• Familiarity with QA/QE best practices
• Experience working in Cloud environments
• Experience as a software engineer writing large-scale applications
• Experience with machine learning is a huge bonus

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

About the Team: The Brand Ad Formats team drives the development of ad formats that help advertisers maximize reach and brand impact. They focus on high-visibility, awareness-driven solutions that create memorable experiences for Reddit users. By delivering guaranteed placements and engaging ad interactions, they support major brand initiatives and help advertisers achieve measurable outcomes.  The team is building fully customizable interactive formats and AI-driven ads that incorporate User-Generated Content (UGC).  Moving forward, we will be doubling down on Video Ads, with the goal of turning Reddit into an industry leader and a ‘must buy’ for advertisers to promote video content.

As a Staff Android Engineer, you will lead the technical strategy to turn Reddit’s Video Ads into a premier offering for brand advertisers.  You will also build and provide technical guidance on new reddit-unique ad formats on Android, ensuring they are high performance, high quality and scalable.

What you’ll do: 

• Video Ads Tech Lead: Partner closely with Product and Design to build a roadmap that will transform our Video Ads format into an industry leader in the space, and drive the technical design and execution of projects that turn the roadmap into reality.
• Technical Strategy: Provide guidance to the team working on building video ads as well as reddit-unique ad formats that scale to millions of users, by establishing Android best practices and providing design reviews.
• Full-Cycle Leadership: Drive the entire development lifecycle—from early-stage discovery and prototyping to testing, data-driven experimentation, and deployment.
• Raise the Bar: Mentor senior engineers across teams in ad formats and establish best practices for design, testing and operational excellence, while also leading by example in understanding and advocating for our customers.

What we expect from you: 

• 8+ years of software engineering experience (Staff level seniority). 
• Android Mastery: (Minimum of 3+ years) Deep expertise in Kotlin and modern Android architectural patterns.  Completed 4+ Android development projects from ideation to deployment in production.
• Prior experience in Ad Tech, building highly interactive/rich-media mobile experiences.
• Product Mindset: Proven track record of delivering user-facing features where UI polish and performance are critical. 
• System Design: Ability to navigate complex, data-intensive environments and build fault-tolerant client-side systems.
• AI: Experience leveraging GenAI tools to increase software engineering productivity.
• Experimentation/Analysis: Fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc.
• Versatility: An openness to work across the stack when necessary and explore innovative approaches (e.g., AI/ML integration).
• Entrepreneurial spirit: You must be self-directed, innovative, and biased towards action. You live to build new things and thrive in ambiguity.
• Excellent communication skills: You must be able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences.
• An experienced technical leader with a strong track record of mentoring and uplifting team members technical skills and aptitude.
• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule for the team.
• BS degree in Computer Science, similar technical field of study, or equivalent practical experience.

Bonus points:

• Experience working on Video Ads
• Experience working at a scaled peer company
• Experience with Jetpack Compose

Benefits:

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

The Android Platform team sets the technical direction for Android at Reddit. We design, build, and support the Android app and its development ecosystem (libraries, frameworks, observability, and build/CI tooling) that every team uses to ship delightful Reddit experiences.

As a Staff Android Engineer, you will be a technical leader for the Android organization, focusing on three pillars: Client Health (Crashes/ANRs/Performance), Developer Experience, and App Architecture.

What you’ll do:
• Own and shape the architecture of Reddit’s Android App to scale for the next 100M+ DAUs.
• Improve Android developer experience by designing tools, workflows, and CI integrations that make it fast and safe to develop and release code.
• Define and operationalize guardrails (lint/static analysis, tests, and AI-assisted reviews) that catch common issues early.
• Build and evolve Android client health and observability foundations (events, traces, dashboards) so teams can improve user experiences.
• Apply AI thoughtfully to engineering workflows (e.g., code review, static analysis) for improved productivity.
• Mentor and Support Android engineers through design reviews, documentation, and education on platform capabilities.

What we expect from you:
• 8+ years of Software development experience with at least 4+ years in designing/developing Android applications.
• Experience working in a large codebase serving 100+ engineers and millions of DAUs.
• Mastery of modern Android development (Jetpack Compose, Kotlin Coroutines).
• Strong background in Android platform/infrastructure: shared libraries, startup/session orchestration, or core networking/caching.
• Practical experience applying AI to engineering workflows with clear, measurable benefit.
• Proven ability to lead cross-functional initiatives and influence technical direction across multiple teams.

Benefits:

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

A Career with Point72's Technology Team

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.

WHAT YOU'LL DO

• Define and drive the validation strategy for AI-assisted software delivery across our Macro Trading Technology team, building a scalable approach that protects trading integrity while accelerating releases
• Translate deep knowledge of macro trading workflows into clear behavioral rules, acceptance criteria, and validation scenarios that guide engineers and AI tools during development
• Collaborate with engineering leadership, business analysts, and stakeholders, to clarify expected system behavior before and during implementation and to build consensus on release gates
• Build and maintain comprehensive regression coverage for critical trading workflows, including end-to-end workflow regression, data validation, user interface checks, downstream-impact verification, and documented manual validation paths
• Develop and maintain Playwright-based automation for high-value user journeys such as blotter behavior, trade capture flows, workflow controls, release smoke checks, and regression packs
• Use AI tools as an integral part of validation to accelerate rule definition, scenario generation, test design, automation development, defect analysis, documentation, and release preparation
• Validate AI-generated code and configuration changes through targeted human review, automated tests, exploratory testing, and evidence-based release checks
• Create reusable assets including rule catalogs, scenario libraries, golden datasets, regression packs, automation suites, manual validation scripts, and release-readiness playbooks that others can build on
• Lead user acceptance testing planning and execution, drive defect triage and release-readiness assessment, and own post-release validation and stabilization for business-critical macro trading workflows

WHAT'S REQUIRED

• 8+ years of professional experience in trading technology, business systems analysis, quality assurance, validation engineering, test automation, or software delivery
• Hands-on domain experience with financial markets or trading technology, including exposure to fixed income, futures, foreign exchange, trade capture, blotter behavior, automated straight-through processing, order management and execution systems, or front-office trading platforms
• Strong background designing and executing validation for production systems, including regression testing, user acceptance testing, manual validation, exploratory testing, defect triage, release support, and post-release stabilization
• Demonstrated ability to analyze complex business workflows, identify edge cases and control points, and convert expected behavior into testable requirements and release-readiness evidence
• Hands-on experience developing and maintaining automation for modern web applications using Playwright or equivalent automation frameworks
• Strong SQL and data analysis skills with the ability to validate system behavior through database queries, logs, APIs, service responses, and downstream data inspection
• Practical experience using AI tools across the delivery lifecycle, with a strong understanding of how AI-assisted development increases the need for clearer business rules, stronger regression coverage, targeted human review, and evidence-based release gates
• Strong verbal and written communication skills with the ability to work effectively with engineering, business analysts, trading stakeholders, program management, operations, and compliance
• Commitment to the highest ethical standards

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully-paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

ABOUT POINT72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $140,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

What We're Looking For

We are seeking a highly skilled Research Engineer to work on optimizing training and inference workloads on compute accelerators and clusters, through the Lightning Thunder compiler and the broader PyTorch Lightning ecosystem. This role sits at the intersection of deep learning research, compiler development, and large-scale system optimization. You’ll be shaping technology that pushes the boundaries of model performance and efficiency, creating foundational software that will impact the entire machine learning ecosystem.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites.

What You'll Do

• Develop performance-oriented model optimizations at multiple levels:
• Graph-level (e.g., operator fusion, kernel scheduling, memory planning)
• Kernel-level (CUDA, Triton, custom operators for specialized hardware)
• System-level (distributed training across GPUs/TPUs, inference serving at scale)
• Advance the Thunder compiler by building optimization passes, graph transformations, and integration hooks to accelerate training and inference workloads.
• Work across the software stack to ensure optimizations are accessible to end users through clean APIs, automated tooling, and seamless integration with PyTorch Lightning.
  Design and implement profiling and debugging tools to analyze model execution, identify bottlenecks, and guide optimization strategies.
• Collaborate with hardware vendors and ecosystem partners to ensure Thunder runs efficiently across diverse backends (NVIDIA, AMD, TPU, specialized accelerators).
• Contribute to open-source projects by developing new features, improving documentation, and supporting community adoption.
• Engage with researchers and engineers in the community, providing guidance on performance tuning and advocating for Thunder as the go-to optimization layer in ML workflows.
• Work cross-functionally with Lightning’s product and engineering teams to ensure compiler and optimization improvements align with the broader product vision.

What You’ll Need

• Strong expertise with deep learning frameworks such as PyTorch
• Hands-on experience with model optimization techniques, including graph-level optimizations, quantization, pruning, mixed precision, or memory-efficient training.
• Knowledge of distributed systems and parallelism strategies (data/model/pipeline parallelism, checkpointing, elastic scaling).
• Familiarity with software engineering practices: designing APIs, building robust tooling, testing, CI/CD for performance-sensitive systems.
• Excellent collaboration and communication skills, with the ability to partner across research, engineering, and external contributors.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Nice-to-Haves

• Experience with CUDA, Triton, or other GPU programming models for developing custom kernels.
• Deep understanding of deep learning compiler internals (IR design, operator fusion, scheduling, optimization passes) or proven work in performance-critical software.
• Proven track record contributing to open-source projects in ML, HPC, or compiler domains.
• Advanced degree (Master’s or PhD) in machine learning, compilers, or systems highly preferred.

Compensation

About the Opportunity

We are seeking a hands-on, front-end-strong full-stack engineer to own the clinical reporting experience at the heart of our imaging platform. This is a high-impact individual contributor role — you will be the primary engineer driving the reporting UI and clinical workflow that cardiologists and radiologists use to review, finalize, and deliver results.

Our engineering team skews backend-heavy, which means there is significant frontend work ahead and real ownership available for the right person. You will work directly with clinical stakeholders — cardiologists, radiologists, and Core Lab teams — to shape workflows that directly impact patient care.

The ideal candidate is a strong React/TypeScript engineer who is comfortable with backend API integration, has built clinician-facing interfaces before, and is genuinely excited about doing the detailed, grinding work of getting clinical UIs right.

What You'll Own

Clinical Reporting UI

• Own the end-to-end reporting experience — the interface cardiologists and radiologists use to review cases, finalize results, and sign off on reports
• Build a web-based results summary displaying case status, key measurements, exceptions, and data provenance across Cleerly and integrated third-party applications
• Design and implement clear, high-usability clinical interfaces that handle complex multi-source data with strong information hierarchy