Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the team 

The Capacity & Efficiency team sits inside Anthropic’s Compute organization and owns the cost, utilization, and attribution story for non-accelerator infrastructure — the network, compute, and storage backbone that moves petabytes between training clusters, inference fleets, and object storage across clouds and regions. The scale is real, the spend is large, and the efficiency levers are still mostly unpulled.

We work alongside the Systems Networking team (who build and operate the fabric) and the Observability team (who own the telemetry platform). This role lives at the intersection: you’ll use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.

About the role

We’re looking for a network engineer who thinks in metrics first. You understand spine-leaf fabrics, BGP, SDN overlays, and cloud interconnect products well enough to build them. You will instrument them, model their cost-per-bit, and squeeze out the inefficiency, while ensuring we can move the bits to the right places in the most efficient manner. You’ll own the observability and efficiency surface for Anthropic’s network: from per-flow telemetry on backbone routers, to cost attribution that tells a research team exactly what their checkpoint sync is costing.

This is a hands-on IC role. You’ll write code (Python, Go), build dashboards and model capacity. You’ll also influence architecture: when the data says a traffic pattern is pathological, you’ll be in the room root causing it and fixing it. 

You will be working across three areas: network telemetry, observability and cost modeling and attribution. We expect you to be strong in at least two and willing to grow into the third. If you're a telemetry-first engineer who's never built a chargeback model, or a traffic engineer who hasn't shipped eBPF probes, apply anyway and tell us which axis you want to grow on.

What you’ll do

• Build the network observability stack. Design and deploy telemetry pipelines — sFlow/IPFIX, gNMI streaming, eBPF host probes — that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.

• Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.

• Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.

• Drive cost attribution. Tie network spend — egress, interconnect ports, transit, optical leases — back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.

• Influence decisions you don't own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting. You'll partner closely with Systems Networking on fabric architecture and Observability on telemetry platform integration, but the cost and efficiency wins will come from moving teams that don't report to you.

• Automate. Extend our intent-based network configuration systems and write the tooling that turns your efficiency findings into safe, reviewable, and impactful changes.

You may be a good fit if you

• Have 5+ years operating large-scale production networks — data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments. 

• Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).

• Know at least one major CSP’s networking model deeply — AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) — and understand how their overlays interact with physical underlays.

• Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.

• Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.

• Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.

• Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.

Strong candidates may also have

• SRE experience for large-scale network infrastructure — designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.

• Background on a cloud provider's networking team or a cloud networking product team — building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.

• Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.

• Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.

• Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.

• Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.

• Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.

Representative projects

• Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it

• Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic

• Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity

• Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team's source of truth for network observability 

Why this role, why now

Anthropic’s network footprint is growing faster than our ability to reason about it. We’re turning up tens of terabits of private backbone capacity, peering across clouds, and moving model weights that keep getting larger. The efficiency opportunities are enormous and largely untouched — this is a chance to build the measurement and optimization layer from the ground up, with real budget impact and direct influence on how Anthropic’s infrastructure scales.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.

At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.

Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.

What you’ll do

As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.

Responsibilities

• Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
• Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
• Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
• Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
• Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products). 
• Proven track record of delivering pragmatic solutions that accelerate business growth 
• Ability to adjust conversations from high-level discussions to detailed coding 
• Thrives on a high level of autonomy and responsibility 
• Clear and persuasive writing and in-person communication 
• Strong problem-solving skills, critical thinking, determination, and a growth mindset 
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Has experience in a range of software languages and frameworks. Examples of what we work with include:
• Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
• Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal, 
• Others: Mongo, Splunk, Prometheus

Preferred qualifications

• Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
• Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
• Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
• Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
• Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
• Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Why Stripe Identity

• The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
• The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
• You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
• The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto and remote locations.

What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.

What you'll do

You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it.

Responsibilities

• Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services
• Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end
• Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale
• Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations
• Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)
• Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability
• Work closely with the open source community to identify opportunities for adopting new open source features as well as contribute back to OSS

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems
• Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
• Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot
• Experience developing, maintaining and debugging distributed systems built with open source tools
• Experience building and scaling infrastructure as a product
• Strong software engineering skills and a passion for Big Data Distributed Systems
• Ability to write high quality code (in programming languages like Go, Java, Scala, etc)
• Comfortable operating with high autonomy and ownership
• Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
• Strong written and verbal communication skills, including the ability to produce clear technical documentation

Preferred qualifications

• Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale
• Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production
• Experience building or operating control planes for managing large-scale infrastructure
• Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)

About the Role

The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.

This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.

What You'll Do

• Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
• Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
• Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
• Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
• Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability 
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have a strong interest in LLM serving; prior inference or ML experience is not required 
• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Strong Candidates May Also Have Experience With:

• LLM inference optimization, batching, and caching strategies
• Capacity-constrained scheduling or shared-resource test infrastructure
• Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
• Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
• Proficiency in Python or Rust

Join Airtable as a Product Security Engineer and play a pivotal role in shaping the security of our rapidly evolving platform as we expand our AI and LLM-powered offerings. You will join the team responsible for safeguarding the application layer of Airtable’s platform.

You will partner closely with product engineering teams to build paved roads, frameworks, and automated controls that make the secure path the easy path for our engineering teams. You will help influence application security at scale, ensuring our products are secure by design.

What you'll do

• Develop self-service security frameworks and "paved roads" that allow engineering teams to ship secure code by default.
• Focus on automated guardrails for common vulnerabilities, while prioritizing deep-dive design reviews into complex business logic and data isolation issues (for example, multi-tenant isolation and authorization/permission bypasses) that automated tools cannot catch.
• Partner with product and engineering teams to review designs early, contribute to threat modeling for new features and complex initiatives, and provide clear, actionable security guidance.
• Research emerging threats and evolving best practices, specifically regarding AI and LLM safety, and implement controls to secure these workflows.
• Manage and evolve our approach to external penetration testing and bug bounties, driving remediation for findings and treating vulnerability management as an engineering problem.
• Contribute to the long-term roadmaps, metrics, and strategic planning for the security team.
• (Senior/Staff L5+) Lead complex threat modeling sessions for major product launches and define secure coding standards, and actively mentor other engineers to raise the technical security bar across the organization.

Who you are

• 4+ years of experience in product security or application security, with experience shipping production code. Please note this is not an early career position.
• You have a strong background in computer science or a related field, with proficiency in writing clean, maintainable code.
• You have deep familiarity with JavaScript or TypeScript, Node.js, and modern web application frameworks, and can reason about the security implications of systems built on them.
• You have hands-on experience securing LLM integrations and identifying prompt injection or data leakage risks.
• You are proficient in writing and reviewing code and treat security as an engineering problem to be solved with software, not just policies.
• You excel at communicating complex security risks to non-security stakeholders and enjoy collaborating cross-functionally to find solutions that balance security with engineering velocity.
• You are comfortable working in a fast-paced environment, navigating ambiguity, continuously learning about emerging threats and technologies, and contributing to long-term security strategy.

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. 

VEVRAA-Federal Contractor

If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.

#LI-remote

What you’ll do

As a Staff Software Engineer on the Identity & Access Management (IAM) team, you will be a primary architect of CoreWeave’s IAM strategy as we rapidly expand the platform. You will leverage your deep expertise in identity systems to design, extend, and harden a platform that secures our high-performance cloud infrastructure. This is a high-impact leadership role where you will balance rapid execution with the long-term technical vision necessary to meet the demands of our global enterprise customers.

About the role

• Technical Strategy & Vision: Partner with Product and Engineering Leadership to translate complex requirements into a multi-year technical roadmap that balances immediate business needs with long-term architectural integrity
• System Architecture: Lead the design and implementation of high-throughput, low-latency distributed systems for authentication and authorization across all CoreWeave services
• Platform Evolution: Architect customer-facing experiences for identity lifecycle management, IdP integration (SAML/OIDC), and granular permissioning models
• Engineering Excellence: Champion a security-first mindset across the organization, establishing rigorous standards for code quality, design reviews, and threat modeling
• Operational Leadership: Elevate the team’s operational maturity by defining SLOs, enhancing deep-stack observability, and driving automation to eliminate systemic toil
• Technical Mentorship: Act as a force multiplier by mentoring Senior engineers and fostering a culture of continuous learning and high-performance engineering
• Cross-Functional Influence: Drive alignment on critical security initiatives across the broader engineering organization, articulating complex technical trade-offs to stakeholders

Who you are

• 10+ Years of Experience building and operating large-scale distributed systems in a production environment using one or more of Go, TypeScript, or React
• 5+ Years of IAM Domain Expertise: Proven track record of developing identity products and a deep mastery of standards including OIDC, OAuth2.0, SAML, and JWT
• Technical Leadership: Demonstrated experience leading large, cross-functional projects from inception to planet-scale deployment with measurable business impact
• Cloud-Native Mastery: Deep understanding of Kubernetes, microservices architecture at scale, and advanced CI/CD patterns
• Enterprise Security Acumen: Solid knowledge of the security, compliance (SOC2, HIPAA, etc.), and governance needs of sophisticated enterprise customers
• Strategic Communication: Superb ability to synthesize ambiguous requirements into clear technical designs and communicate trade-offs to both executive and technical audiences
• Analytical Problem Solving: Expert-level ability to debug complex, intermittent issues within distributed environments

Preferred

• Architectural Transformation: Experience leading the decomposition of monolithic architectures into high-performance microservices
• AI-Augmented Development: Familiarity with leveraging AI agents (e.g., Claude, Cursor) to accelerate the software development lifecycle
• Emerging Tech Knowledge: Familiarity with AI/ML workloads, GPU-based infrastructure, and the unique security challenges of MLOps at scale
• Policy-as-Code: Experience with modern authorization frameworks such as Open Policy Agent (OPA) or Cedar

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 solve complex problems and build high-scale, low-latency distributed systems.
• You’re curious about how to evolve cloud platforms and scale infrastructure globally for the next generation of AI workloads.
• You’re an expert in one or more preferred programming languages (Go, TypeScript, Python), and have deep technical knowledge of distributed systems.

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 enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities 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 $188,000 to $275,000. 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). 

The Security Products organization at CoreWeave builds the identity, encryption, and self-managed security integrations that protect AI workloads and data across our cloud platform. If you are passionate about building foundational security primitives that enable enterprises and the top AI labs in the world to deploy regulated and security‑sensitive workloads at extreme scale, this is the team to join!

About the role

CoreWeave is seeking a Staff or Principal Engineer for our Security Products team to lead the technical direction and implementation of encryption and key lifecycle management  In this role, you’ll design and evolve the key lifecycle management, encryption control planes, algorithm/library selection, and systems integrations that allow CoreWeave customers to deploy sensitive, high security AI workloads and data. You’ll partner closely with teams across CoreWeave to develop customer-driven cryptography technology. Your day‑to‑day will blend hands‑on system design and coding with cross‑team technical leadership, design reviews, and roadmap shaping for Security Products.

In this role, you will:

• Lead the design and evolution of encryption and key lifecycle management products.
• Manage encryption and cryptography technology development for services within our Cloud Platform, particularly those for high security and highly regulated customers.
• Design and build deep integrations between our Cloud Platform and external key sources (eg, HashiCorp Vault, AWS KMS, HSMs).
• Collaborate with other product engineering teams to support the safe use of multicloud key management technology.
• Partner with IAM to define unified authorization patterns and policy models for key management APIs with consistent semantics across the resource hierarchy.
• Establish SLIs / SLOs for Remote Key Encryption (RKE) and related services, including availability, latency, and durability guarantees for key retrieval and encryption operations.
• Partner with the Security Engineering team on threat modeling and corporate strategy to enable the most sensitive AI workloads in the world to be deployed on CoreWeave's infrastructure.
• Author and review detailed technical designs and RFCs for new RKE capabilities, mentor other engineers on the team, and provide technical leadership across Security Products and adjacent organizations.

Who You Are

• 8+ years of experience building and operating distributed backend systems in production, including ownership of reliability and security outcomes for critical services.
• Deep experience with encryption at rest and key management systems, including envelope encryption patterns, key hierarchies and secure key lifecycle management.
• Hands-on experience integrating with at least one major KMS or secrets manager (e.g., AWS KMS, HashiCorp Vault, Azure Key Vault, GCP KMS, HSMs), including designing APIs and workflows around those systems.
• Strong proficiency in a systems programming language such as Go (preferred) or Rust, with experience building networked services (gRPC / REST) in a Linux / Kubernetes environment.
• Solid understanding of applied cryptography concepts relevant to data‑at‑rest protection (AES‑GCM/CTR, key wrapping, KDFs, randomness requirements, envelope encryption, and key separation) with the ability to reason about threat models and failure modes with Security partners.
• Experience designing and operating multi‑tenant services with strong isolation and authorization semantics across customers and internal tenants.
• Demonstrated track record of leading cross‑team technical initiatives, driving projects from problem statement through rollout, alignment, and operational readiness.
• Strong operational experience defining SLIs / SLOs, building dashboards and alerts, and partnering with SRE / Production Engineering on incident response and post‑incident improvement.
• Excellent written and verbal communication skills with the ability to produce clear, opinionated design docs that influence Senior Engineers, PMs, and Security stakeholders through context setting and sound technical judgment

Preferred (if applicable)

• Prior experience designing or implementing remote or externalized key management for cloud storage, databases, or filesystems (e.g., BYOK/BYOKMS, customer‑managed keys, envelope encryption for S3‑like object storage).
• Experience with hardware‑backed key management (HSMs) and cryptographic compliance regimes (FIPS 140‑2/3, PCI, HIPAA, FedRAMP Moderate+, or similar) and how they shape system design.
• Familiarity with IAM policy models (RBAC / ABAC, OpenFGA, OPA/Rego, etc.) and how to integrate fine‑grained authorization into security‑sensitive APIs.
• Experience extending encryption and key management across multiple storage domains (object storage, block/file storage, databases, control plane state like etcd) in a coherent way.
• Background working in security‑sensitive or regulated environments where auditability, segregation of duties, and key custody requirements are critical.
• Contributions to open source cryptography, security tooling, or KMS/client libraries.
• Previous US/NATO federal cryptographic security experience is ideal but not necessary. 

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 care deeply about getting the cryptographic and operational details right, and you’re comfortable saying “no” to shortcuts that weaken security or key custody guarantees.
• You’re excited by the challenge of building foundational security primitives that other product teams and large enterprises will build on for years.
• You enjoy working at the intersection between Platform, Storage, IAM, and Security Engineering, and you can translate between those domains without losing the plot.
• You’re skilled at turning complex requirements for highly regulated customers into simple, reliable, well‑documented APIs and workflows.
• You’re comfortable operating in a fast‑moving environment, iterating quickly while still holding a high bar for design review, testing, and safe rollout of security‑sensitive changes.

The base salary range for this role is $206,000 to $303,000. 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 Hightouch

Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.

Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

About the Role

We are looking for a Staff AI Productivity Engineer to accelerate how our engineering organization works with AI coding tools. This is a hands-on technical role focused on building infrastructure, tooling, and documentation that makes AI agents dramatically more effective across our codebase.

AI tools are evolving rapidly, and we believe the companies that invest in making agents truly productive - not just available - will have a significant advantage. You'll own this problem end-to-end: from setting up cloud development environments where agents can run autonomously, to building MCP integrations that give agents access to our internal systems, to creating the documentation and context that helps agents understand how we build software.

You’ll have the hands-on acumen to do a lot of the heavy lifting yourself and the leadership skills to drive cross-team efforts to raise the bar everywhere. This role is a companion role to our Developer Productivity role but has a distinct focus: while Dev Productivity owns the build/test/deploy pipeline, you'll own the AI-assisted development experience. An exceptional candidate could wear both hats.

Some of the problems we’ll be working on include:

• Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, etc
• Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, Github, etc
• Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use
• Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better docs, tooling access, etc. Develop tooling for non-engineers to make simple visual updates to our application
• Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of what is state-of-the-art in industry and driving those improvements across Hightouch

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

Must have

• Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly
• Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar)
• Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output
• Track record of building developer tools or infrastructure that other engineers actually use
• Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code

Nice to have

• Experience building or contributing to MCP servers or similar agent-tooling integrations
• Background in developer productivity, platform engineering, or developer experience roles
• Experience with our stack: TypeScript/JavaScript monorepos, Go, GraphQL
• You've set up sandboxed or containerized development environments at scale

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
• System Design Screen [45m]: Designing a data processing feature end-to-end
• AI Skills Interview [60m]: We’ll dive into how you leverage AI and how you’ve helped others do the same
• Hiring Manager Interview [45m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical

About Role

Clockwork is seeking a sales-savvy individual with extensive technical expertise in AI networking to fill our Senior Solutions Engineer position. Do you thrive in a fast-paced, dynamic environment? Utilize your networking expertise, systems engineering background, and consultative skills to partner with our sales team throughout the entire customer journey—from understanding requirements and delivering compelling technical presentations and demos to conducting proof-of-concept (PoC) evaluations and overseeing complex software deployments.

What you will do

• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept evaluations to showcase the value of Clockwork's solutions within customer environments.
• Provide technical leadership during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Work closely with Clockwork's sales team to complete PoC evaluations and close deals.
• Collaborate with product and engineering teams, and identify opportunities for product enhancement.
• Offer valuable insights on product features, functionality, and performance, contributing to discussions about product strategy and architecture.
• Stay abreast of the latest developments and trends in AI networking, Kubernetes, and cloud computing, sharing your thought leadership with customers and internal stakeholders.
• Represent Clockwork at conferences and industry events, with occasional travel as required.

Experience/skills you bring to the position

• 5+ years in a solutions architect or engineering role, preferably within cloud or AI infrastructure domains.
• Previous pre-sales experience, including POCs, with client stakeholders, including senior technical staff and management.
• Hands-on experience with cloud platforms (AWS, GCP, Azure, OCI).
• Strong understanding of Kubernetes and container orchestration.
• Familiarity with GPU infrastructure and related technologies.
• Extensive knowledge of networking protocols.
• Excellent communication and relationship-building abilities, with a customer-centric mindset.
• Demonstrated ability to troubleshoot complex technical issues and provide effective solutions.
• A degree in computer science, electrical engineering or related field.
• Proficiency with Python, SQL, and Linux (Golang, C, C++, and Java are a plus).

Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $170,000 - $250,000. In addition to cash compensation, this role is eligible to participate in the company’s equity program, which may include stock options granted in accordance with the company’s equity plan and subject to approval and applicable vesting schedules.

Enjoy

• Challenging projects.
• Competitive compensation.
• A great benefits package.
• A friendly and inclusive workplace culture.
• Catered lunches.

About EG

Engineers Gate (EG) is a leading investment manager founded in 2014 as a quantitative, computer-driven trading firm. Today, EG operates as a diversified, multi-strategy investment platform that combines systematic research with selective discretionary approaches. 
 
EG's multi-manager platform allows independent investment teams to pursue distinct strategies while benefiting from shared infrastructure, risk management, and operational support. The firm’s collaborative groups of researchers, engineers, and investment professionals deploy sophisticated statistical models, proprietary technology, and a centralized data platform to isolate and solve challenging problem sets in the global financial markets. 

About The Role 

We are seeking an End User Services Engineer to join our Information Technology team. In this role, you will be part of a global team responsible for ensuring reliable, secure, and high-performance technology operations across all business units. This role requires hands-on end-user support, proactive issue resolution, and ownership of IT systems that enable productivity at scale. You will support traders, executives, and research staff in a fast-paced, mission-critical environment.  

The ideal candidate will have combined deep technical knowledge with outstanding communication and problem-solving skills, consistently delivering “white glove” service while improving systems and processes. This role is ideal for an engineer who thrives on solving complex problems, values precision and responsiveness, and wants to make a direct impact on mission-critical operations within a high-performance environment. 

This is an on-site role based out of our New York City office, five days a week.

Key Responsibilities 

• Deliver high-quality technical support to users across Windows, macOS, and mobile platforms (iOS). 
• Provide prompt troubleshooting and resolution of hardware, software, network, and market data issues. 
• Manage user onboarding/offboarding, permissions, and account administration. 
• Support audio/visual systems and conferencing technologies (Zoom, Teams, Cisco). 
• Assist with mobile device configuration and management through Intune or similar platforms. 
• Support virtual desktop infrastructure (VDI) environments to enable secure and flexible remote access. 
• Utilize an IT Service Management (ITSM) platform to log, track, and resolve support requests. 
• Document solutions and maintain IT knowledge bases for recurring issues and procedures. 
• Identify opportunities for automation and workflow improvement to enhance efficiency. 
• Provide after-hours and weekend on-call coverage as part of a support rotation. 

Qualifications 

• 2+ years of IT support experience in the financial services industry. 
• Bachelor's degree in computer science, Information Technology, or related field. 
• Strong troubleshooting, communication, and prioritization skills. 
• Experience supporting enterprise desktop environments, including Windows 11, and Office 365. 
• Knowledge of identity and access management systems, user management, and security group administration. 
• Experience with endpoint management, software deployment concepts, and packaging. 
• Understanding of basic networking concepts (LAN/WAN, VPN, DNS, DHCP). 
• Familiarity with cloud-based collaboration platforms (Microsoft 365, SharePoint, OneDrive). 
• Working knowledge of AV setups and remote conferencing technologies. (e.g. Zoom) 
• Ability to work independently, manage priorities, and maintain attention to detail in a fast-paced environment. 
• Comfortable interfacing directly with traders, executives, and analysts to provide professional, high-touch support. 

What We Value 

• Clear communication: You build trust through empathy, clarity, and accountability. 
• Proactive mindset: You anticipate issues and improve systems before problems arise. 
• Ownership: You take initiative and follow through until issue is resolved. 
• Growth orientation: You stay curious, learn continuously, and adapt quickly to new tools and technologies. 

The base salary for this role is anticipated to be $100,000–$130,000, excluding potential bonuses, additional compensation, and benefits. Actual compensation will depend on various factors including skills, experience, and qualifications. 

The New York Independent System Operator (NYISO) (Rensselaer, NY) seeks a Senior Operations Engineering Engineer to determine system reliability transfer limits, assist management in the review of NYISO controlled and secured facilities in the areas of system studies, maintenance and testing of Power System Protection systems, and reporting and compliance.  Will also develop engineering studies and analysis to assist management to make engineering-based recommendations to internal functions, Market Participant committees and the general public. Participate in NERC, NPCC, Regional, and NYISO study groups.

Specifically, duties will include the following responsibilities:

• Perform analytical engineering system studies in the following: NYISO seasonal operating studies, NERC, NPCC and Inter-Regional study support and, when requested, provide Transmission Planning support. Examples of studies include: seasonal reliability assessments, thermal, voltage, and transient stability studies, short circuit studies, Inter-Regional transfer analysis and reliability assessments.
• Conduct detailed analysis of system events and disturbances. Review system events   and performance after-the-fact for compliance with NERC, NPCC, and NYSRC Standards, Criteria, and Rules.
• Support Regional Market Coordination through the calculation and evaluation of distribution factors.
• Maintain a detailed electric power system models for the NYCA, incorporating the most accurate system representation for the neighboring Areas to represent the specific study conditions for thermal, voltage, stability short circuit analysis.
• Conduct reviews of NYISO controlled and secured facilities, standards and practices for installation, maintenance and testing of bulk power protective relay systems.
• Evaluate the effectiveness of computer simulation programs and/or other tools to ensure the safe and reliable operations of the NYISO transmission and generation resources.
• Prepare and maintain of NYISO technical support documentation.
• Advise and confer with engineers in review meetings to review analysis and develop recommendations and conclusions. Provide technical support to Operations and Planning and Market Monitoring staff.
• Participate on internal and external committees, project teams and Market Participant working groups.
• Provide technical oversight to Associate Engineers.
• Maintain a detailed electric power system model of the NYCA in the NERC Interchange Distribution Calculator (IDC). Administer access to IDC for NYISO staff and coordinate, where necessary, data mapping between the IDC and NYISO data sourcing applications.
• Senior Engineers assist others to understand technical information, participate in committees, project and meetings as the department’s Subject Matter Expert and recommend procedure and policy changes to manager.
• Conduct detailed analysis of Restoration evaluations, updates of NYISO Restoration Material and serve as a Subject Matter Expert.

Requires a Bachelor’s degree in Electrical and Computer Engineering or a related technical field. The successful candidate must also have two (2) years of experience as an Engineer in the energy field, to include two (2) years of experience with the following:

• Performing blackstart compliance studies;
• Conducting motor start studies during extreme weather scenarios;
• Implementing electromagnetic transient tools to analyze surge protection requirements;
• Utilizing PSSE, TSAT, EMTP-RV, ETAP software

The Role

We are seeking a Senior Staff Engineer to join our team. SoFi is building out a new team to develop crypto products and services for our members.  Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond.  

On our team, you will be in the middle of it all – implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.

At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.

Key responsibilities

• Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
• Debug and resolve complex systems issues in high-scale, real-time services.
• Build high-quality, scalable systems with a focus on performance, security, and reliability in crypto products.
• Shape the technical architecture across SoFi’s crypto stack — wallets, custody, trading, and beyond.
• Drive new ideas and technical strategies that push our crypto offerings forward.
• Raise the bar on engineering through code quality, mentorship, and setting strong technical standards.
• Apply deep knowledge of crypto protocols, smart contracts, and blockchain infrastructure.
• Collaborate across teams to deliver reusable crypto services and integrate with SoFi’s broader platform.
• Mentor engineers and contribute to a culture of technical growth and curiosity.
• Lead discussions, reviews, and decisions across teams and with senior technical leadership.
• Make smart, pragmatic decisions that balance speed and quality.
• Stay curious — constantly learning new tools, protocols, and patterns in the evolving crypto space.
• Ask hard questions, give and take feedback well, and thrive in a collaborative, fast-moving environment.

What you'll need

• 8+ years programming experience, with significant experience in modern day languages and familiarity with AI tools.
• Expert understanding and hands-on experience building and operating large-scale fault-tolerant distributed systems, workflows, databases and mobile/web applications
• Expertise with Java / Spring / Kotlin / PostgreSQL / AWS. Expertise with any modern Java frameworks, REST APIs, and relational databases
• Deep understanding of code release, deployment orchestration / rollout mechanisms, logging, instrumentation, monitoring, and alerting in a microservices environment.
• Experience with public cloud infrastructure
• Excellent verbal and written communication skills and working with stakeholders across disciplines
• Understanding of blockchain fundamentals and distributed ledger technologies
• Familiarity with digital assets across major chains (Bitcoin, Etherium, …)
• Hands-on experience with smart contracts is a plus
• Familiarity with custody, settlement, and clearing of crypto transactions
• Experience with security and best practices for wallet management
• Exposure to crypto trading platforms, market data, and DeFi protocols
• Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage)
• Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions
• Prior work in or collaboration with crypto-native companies or fintechs
• Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services

Available Locations: NYC

About the Role

Cloudflare’s Senior Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 7+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

Compensation may be adjusted depending on work location.

• For NYC based hires: Estimated annual salary of $185,000 - $254,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:

• Create multi-layered guardrails around agents
• Optimize data retrieval for agents
• Orchestrate fleets of asynchronous agents
• Automatically alerts users to deviations in data
• Illustrating how an agent reached a decision

As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders.

You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency.

• Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
• Ensure system reliability and performance across multiple security classifications and network types.
• Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance.
• Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members.
• Influence the long-term product strategy and technical roadmap for the Federal business unit.
• Consult on the architecture of AI-powered solutions for large-scale federal contracts.

Ideally you will have: 

• Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure.  You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

Impact and Responsibilities:

• Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.
• Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.
• Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.
• Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
• Experience with orchestration platforms, such as Temporal and AWS Step Functions.
• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).

Nice to haves:

• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).
• Experience scaling products at hyper-growth startups.
• Excitement to work with AI technologies.

Staff Software Engineer, Full-Stack - Enterprise Gen AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences.

At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME’s Person of the Year AI experience (see it in action), where our AI technology helped shape one of the most iconic features in media. You'll also contribute to Scale’s GenAI Platform (SGP), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it’s developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you’ll play a crucial role in shaping how AI integrates into real-world applications.

You Will:

• Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies
• Develop and refine features for Scale’s GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents
• Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind
• Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences
• Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure
• Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility

Ideally, You Have:

• 5+ years of experience developing frontend or fullstack applications in a modern tech stack
• Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces
• Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments
• A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms
• Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP
• A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life

This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you’re excited by the intersection of AI, frontend engineering, and product design, we’d love to hear from you.

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400—$310,500 USD

. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

You will:

• Own large new areas within our product
• Work across backend, frontend, and interacting with LLMs and ML models
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems.  You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

You will:

• Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
• Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
• Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers. 

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.
• Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).
• Show a track record of mentoring and leading teams in successful projects.
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings.
• Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems.
• Experience driving cross functional collaboration and communication at an organizational or broader level. 

Nice to haves:

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
• Experience with performance tuning and cost optimizations of cloud based data platforms. 
• Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs.  
• Experience scaling products at hyper-growth startups.
• Excitement to work with AI technologies.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. 

The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You’ll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. 

You’ll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you!

You will: 

• Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers. 
• Research cutting edge algorithms to integrate directly into our training stack.
• Design solutions that enable complex multi-agent systems to directly learn from both process + outcome based rewards.

Ideally you’d have:

• 5+ years of LLM training in a production environment
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
• PhD or Masters in Computer Science or a related field

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions 
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
• Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

Role Summary

Scale is building the infrastructure layer for institutional intelligence — the compounding asset that makes the world's most consequential organizations more capable over time. The Chief of Staff to the VP of Product sits at the center of that work.

This is not a chief of staff role in the traditional sense. This person is not a scheduler, a note-taker, or a communications coordinator. They are an extension of the VP of Product, absorbing context across every workstream, making real prioritization calls, and operating at a level of organized precision that makes the rest of the function run faster.

The right person for this role wants to grow into product leadership and understands that the fastest path there is to operate at close range with someone doing the job. They will be in every room, on every decision, and responsible for ensuring that nothing falls through the cracks, including the principal.

What You'll Do

• Prepare the VP for every significant meeting, external or internal: customer briefings, executive reviews, board-adjacent discussions with the right level of context and the right framing.
• Represent the VP in internal workstreams where her presence isn't required but her perspective is. This means you actually have the perspective, not just her notes.
• Drive follow-through on decisions made in meetings: own the action items, chase closures, and surface blockers before they become problems.
• Build and maintain the operational infrastructure that keeps the product org coordinated. Rhythms, comms, templates, and shared context without it becoming process for its own sake.
• Engage directly with engineering leads, PMs, and go-to-market partners with enough technical and product fluency to move things forward, not just relay information.
• Move people without authority. You will regularly need engineers, PMs, GTM leads, and customers to do things that aren't in their immediate interest to prioritize. You get there by being trusted, well-framed, and well-timed, not by invoking the principal's name.

What We're Looking For

Must-Have Qualifications

• 10 years of experience in product management, technical program management, strategy, or a role with real operational ownership - not coordination.
• Demonstrated record of managing complexity: multiple parallel workstreams, competing stakeholder demands, and ambiguous ownership  and keeping all of it moving without dropping threads.
• Extreme organizational precision. Their systems are legible to others, not just themselves.
• Enough technical fluency to hold a real conversation with a platform engineer. Not deep coding, but genuine comprehension of how systems work: APIs, infrastructure, deployment, architecture at a conceptual level and curiosity to learn.
• The judgment to act on behalf of the principal. 
• Strong, precise written communication. First drafts should be clean. Recaps, briefs, and async updates should require minimal editing.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.

The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.

Responsibilities

Technical Leadership & Vision

• Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.
• Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.
• Core Agent Capabilities Development:
• Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.
• Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.
• Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base.
• Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
• Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.

Team Leadership & Mentorship

• Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.
• Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.
• Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.

Basic Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
• 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.
• 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.
• Deep expertise in Generative AI and Large Language Models (LLMs).
• Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.
• Experience with large-scale distributed systems and real-time data processing.

Preferred Qualifications

• Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.
• Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.
• Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.
• Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.
• Experience with vector databases and advanced retrieval techniques.
• A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).
• Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.
• Experience driving cross-team technical initiatives that have delivered significant business impact.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities.

About the General Agents Team

The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers.

About the Role

As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.

You will:

• Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.
• Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.
• Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.
• Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.
• Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.
• Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.
• Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.

Ideally you’d have:

• 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
• Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
• Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.
• Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
• Experience building systems that integrate models with external tools, APIs, databases, and services.
• Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.
• Strong communication skills and comfort working in customer-facing or cross-functional environments.

Nice-to-haves:

• Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs).
• Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups).
• Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production.
• Experience deploying ML systems in cloud environments and operating them at scale.
• Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks.
• Interest in shaping the future of general-purpose enterprise agents and their real-world impact.

About the Role

Anthropic manages one of the largest and fastest-growing accelerator fleets in the industry — spanning multiple accelerator families and clouds. The Accelerator Capacity Engineering (ACE) team is responsible for making sure every chip in that fleet is accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.

As an engineer on ACE, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.

You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.

What This Team Owns

The team’s work spans three functional areas. Depending on your background and interests, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:

• Data infrastructure — collecting, normalizing, and serving the fleet-wide data that powers everything else. This means building pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalizing billing and usage data across cloud providers, and maintaining the BigQuery layer that the rest of the org queries against. Correctness, completeness, and latency matter here.

• Fleet observability — making the state of the accelerator fleet legible and actionable in real time. This means building cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and driving systemic improvements to scheduling and fragmentation. The work sits at the intersection of Kubernetes operations and cross-team coordination.

• Compute efficiency — measuring and improving how effectively every major workload uses the hardware it’s running on. This means instrumenting utilization metrics across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and collaborating directly with system-owning teams to close efficiency gaps.

• Internal compute tooling — building the platforms and interfaces that make capacity data usable across the org. This includes capacity planning tools, workload attribution systems, cost dashboards, and self-service APIs. The consumers are research engineers, infrastructure teams, finance, and leadership — each with different needs and different levels of technical depth. The work involves product thinking as much as engineering: figuring out what people actually need, defining schema contracts, and making the data discoverable.

You will be placed on a pod based on your background and interests. We are especially focused on hiring for Data Platform, but strong candidates for any of the three active pods will move forward.

What You’ll Do

• Build and operate data pipelines that ingest accelerator occupancy, utilization, and cost data from multiple cloud providers into BigQuery. Own data completeness, latency SLOs, gap detection, and backfill automation.

• Develop and maintain observability infrastructure — Prometheus recording rules, Grafana dashboards, and alerting systems — that surface actionable signals about fleet health, occupancy, and efficiency.

• Instrument and analyze compute efficiency metrics across training, inference, and eval workloads. Build benchmarking infrastructure, establish per-config baselines, and work with system-owning teams to improve utilization.

• Build internal tooling and platforms that enable capacity planning, workload attribution, and cluster debugging. The consumers are other engineering teams, finance, and leadership — not external users.

• Operate Kubernetes-native systems at scale — deploying data collection agents, managing workload labeling infrastructure, and understanding how taints, reservations, and scheduling affect capacity.

• Normalize and reconcile data across heterogeneous sources — including AWS, GCP, and Azure billing exports, vendor-specific telemetry formats, and internal systems with different schemas and billing arrangements.

• Collaborate across organizational boundaries with research engineering, infrastructure, inference, and finance teams. Gather requirements from technical stakeholders, translate them into useful systems, and communicate trade-offs to non-technical audiences.

You May Be a Good Fit If You Have

• 5+ years of software engineering experience with a strong track record building and operating production systems. You write code every day — this is a hands-on engineering role, not a planning or coordination role.

• Kubernetes fluency at operational depth — you’ve operated production K8s at meaningful scale, not just written manifests. Comfort with scheduling, taints, labels, node management, and debugging cluster-level issues.

• Data pipeline engineering experience — designing, building, and owning the full lifecycle of production data pipelines. Experience with data warehouses (BigQuery preferred), schema management, streaming ingestion, SLOs for latency and completeness, and a strong instinct for correctness.

• Observability tooling experience — Prometheus, PromQL, and Grafana are in the critical path for this team. Experience writing recording rules, understanding metric semantics, and building monitoring systems that engineering teams actually rely on.

• Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.

• Familiarity with at least one major cloud provider (AWS, GCP, or Azure) at the infrastructure level — compute, billing, usage APIs, cost management tooling. Multi-cloud experience is a strong plus.

• High autonomy and strong cross-team communication. You can gather your own requirements, navigate ambiguity, and work across organizational boundaries. Scrappiness and ownership matter more than polish.

Strong Candidates May Also Have

• Multi-cloud data ingestion experience — especially working with AWS and GCP APIs, billing exports, or vendor-specific telemetry formats. Experience normalizing data from external providers with different billing arrangements is directly applicable.

• Accelerator infrastructure familiarity — GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience working with ML training/inference systems at the hardware level.

• Performance engineering and benchmarking experience — building benchmark harnesses, establishing baselines, reasoning about compute efficiency (FLOPs utilization, memory bandwidth, interconnect throughput), and working with system teams to diagnose and improve performance.

• Data-as-product thinking — experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just building pipelines, but thinking about how platform data gets consumed.

• Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or large-scale ML environment. FinOps, chargeback systems, or infrastructure cost modeling.

Familiarity with ClickHouse, Terraform, or Rust. ClickHouse is the team’s current streaming store; Terraform for infrastructure-as-code; Rust for high-performance data collection agents.

About the Role

As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. 

Responsibilities:

• Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
• Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
• Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
• Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
• Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
• Influence the future roadmap of Product and GTM teams from a data systems perspective
• Become an expert in our organization’s data models and the company's data architecture

You might be a good fit if you have:

• 5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
• A passion for the company's mission of building helpful, honest, and harmless AI.
• Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
• Expertise in SQL and Python to transform data into accurate, clean data models.
• Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
• A bias for action and urgency, not letting perfect be the enemy of the effective.
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
• Experience building an Analytics Data Engineering (or similar) function at start-ups. 
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that unifies identity, intelligence, and omnichannel activation into a single platform – powered by trillions of consumer signals and one of the industry’s largest proprietary databases. Our enterprise clients use the Zeta Marketing Platform (ZMP) to personalize experiences at the individual level across every channel. 

THE ROLE

Our Vertical Applications team builds web applications that bring the power of ZMP to specific industries – Healthcare, Political, Retail, and more. Every vertical comes with its own fascinating challenges: unique compliance requirements, distinct data models, and workflows that genuinely matter to the people using them. It’s the kind of work where you get to learn new domains, solve real problems, and see your applications make a tangible impact. 

You’ll own applications end-to-end: partner with product owners to define the problem, architect the backend, integrate with Zeta’s core platform, build the frontend, ship to production, and ensure operational excellence. We value clean, simple architectures, test-first development, and continuous delivery. AI-assisted development with tools like Cursor, Claude Code, Gemini and Codex is embedded in our everyday workflow, and we’re excited about what agentic engineering unlocks for both development velocity and software quality. 

What You’ll Do 

• Own vertical web applications from idea to production – working closely with product owners, designing the architecture, building it, shipping it, and running it. 

• Architect backend services (Python, Java, Ruby, Node.js) with a focus on simplicity and reusability across verticals, so good patterns compound over time. 

• Build polished frontend experiences in React/TypeScript/Ant Design System that connect seamlessly with backend APIs (REST, Thrift). 

• Ship continuously and confidently through CI/CD, with observability, resilience and reliability built in from the start. 

• Use AI-assisted development tools as a natural part of your workflow to move faster while keeping quality high. 

• Weave AI/LLM capabilities into vertical applications, opening up new possibilities for each domain. 

• Collaborate across teams – mentor fellow engineers, lead technical initiatives, and bring clarity to complex decisions for both technical and non-technical audiences. 

What We’re Looking For 

10+ years of software engineering with a history of owning and operating the systems you build. You’re deeply proficient in at least two of Python, Java, Ruby, or Node.js, with solid React/TypeScript skills on the frontend. Continuous delivery, test-driven development, agile and shift-left are things you genuinely practice – not just checkboxes on a process document. 

You’re comfortable building and operating scalable, distributed, high performant systems and navigating multi-tenant, compliant environments. You’re already using AI-assisted coding tools (Cursor, Claude Code, Gemini, Codex, or similar) and you’re curious about pushing those workflows further.  

You’re a strong communicator who enjoys working directly with product owners, proposing architectures, building consensus across teams, and then making it happen. You’re energized by learning new domains and collaborating with people who care about their craft. 

Nice to Have 

• MarTech or AdTech experience (DSPs, bid stream processing, data-intensive platforms). 

• Domain knowledge in Healthcare, Political, or Retail verticals. 

Tech Stack 

Why You’ll Love It Here 

• Interesting problems across diverse verticals – Healthcare, Political, Retail – on a platform processing trillions of consumer signals. You’ll never be bored. 

• AI-native engineering culture – agentic development isn’t a side experiment, it’s how we build. You’ll be at the forefront of how software teams work in the future. 

• Real ownership and autonomy. We trust our engineers to make great decisions and give them the space to do it. 

• Collaborative, low-ego team that genuinely enjoys working together and learning from each other. 
• Public company (NYSE: ZETA) with strong growth, competitive compensation, equity, and comprehensive benefits. 

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 $200,000 - $220,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

#LI-YW1

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Clinical staff is composed of two core groups: Primary Therapists, who provide 1:1 care, and Group Facilitators (GFs), who lead group-based sessions that are foundational to the care journey. GFs are our largest and most distributed clinical workforce, and enabling them to deliver consistent, high-quality care at scale is one of our most important and hardest problems. The Facilitator Success team builds the systems that power how this care is prepared, delivered, and improved over time. This is not just about internal tooling, it’s about shaping the operating system for group-based care.

You’ll build products that help facilitators show up to every session informed, confident, and effective. That includes everything from making a client’s full care history and context accessible in the right moments, to generating structured session summaries, to developing playbooks and workflows that guide facilitators in real time. You’ll also tackle the challenge of making facilitator care quality more measurable to turn complex and often unstructured clinical interactions into signals that can drive feedback, coaching, and continuous improvement.

If you care about building tools that empower clinical staff to focus on care, not clicks, this is the team for you.

Responsibilities

• Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL
• Set strong patterns for our growing team to follow, supported by modern AI tools to develop quickly at scale
• Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions
• Be an owner. Collaborate with product and design to iterate to top notch product solutions
• Identify bottlenecks and implement improvements to engineering processes, tools, and procedures. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work
• Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge sharing methods
• Ensure our clients can always access the care they need by participating in our on-call rotation

Requirements

• 4+ years of professional experience developing user facing web applications that deliver meaningful business value
• Expertise and hands on production experience with an application programming language, preferably Python and/or Javascript
• Excellent at managing ambiguity. Masterful ability to break down big, messy problems (demanding requirements, bugs, etc) into smaller parts with tractable solutions and clear iterations
• Meaningful scope within an application engineering team. Experience making or contributing to important technical tradeoff decisions with cross team implications
• Experience developing high quality code leveraging modern AI tooling (ex: using Claude Code)
• Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth

Please note: candidates located within 75 minutes commuting distance of our NYC office are expected to come to office 4 days/week

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $170,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

 #LI-HYBRID

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Clinical staff is composed of two core groups: Primary Therapists, who provide 1:1 care, and Group Facilitators (GFs), who lead group-based sessions that are foundational to the care journey. GFs are our largest and most distributed clinical workforce, and enabling them to deliver consistent, high-quality care at scale is one of our most important and hardest problems. The Facilitator Success team builds the systems that power how this care is prepared, delivered, and improved over time. This is not just about internal tooling, it’s about shaping the operating system for group-based care.

You’ll build products that help facilitators show up to every session informed, confident, and effective. That includes everything from making a client’s full care history and context accessible in the right moments, to generating structured session summaries, to developing playbooks and workflows that guide facilitators in real time. You’ll also tackle the challenge of making facilitator care quality more measurable to turn complex and often unstructured clinical interactions into signals that can drive feedback, coaching, and continuous improvement.

If you care about building tools that empower clinical staff to focus on care, not clicks, this is the team for you.

Responsibilities

• Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL
• Set strong patterns for our growing team to follow, supported by modern AI tools to develop quickly at scale
• Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions
• Be an owner. Collaborate with product and design to iterate to top notch product solutions
• Identify bottlenecks and implement improvements to engineering processes, tools, and procedures. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work
• Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge sharing methods
• Ensure our clients can always access the care they need by participating in our on-call rotation

Requirements

• 4+ years of professional experience developing user facing web applications that deliver meaningful business value
• Expertise and hands on production experience with an application programming language, preferably Python and/or Javascript
• Excellent at managing ambiguity. Masterful ability to break down big, messy problems (demanding requirements, bugs, etc) into smaller parts with tractable solutions and clear iterations
• Meaningful scope within an application engineering team. Experience making or contributing to important technical tradeoff decisions with cross team implications
• Experience developing high quality code leveraging modern AI tooling (ex: using Claude Code)
• Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth

Please note: candidates located within 75 minutes commuting distance of our NYC office are expected to come to office 4 days/week

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $170,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

 #LI-HYBRID

Staff Software Engineer - Platform

Location: Soho, NYC / Remote
Department: Engineering

The Role

We’re looking for a Staff Software Engineer to help grow and build the core platform that powers our Flowcode 2 application at scale. This role sits at the intersection of architecture, leadership, and pragmatic execution with a focus on creating and augmenting reliable, scalable, and extensible services and applications. 

You’ll operate as a technical leader with in our Platform pod, growing platform capabilities, building new features and problem solving in a dynamic and challenging technical environment.. While this is a hands-on role, it requires a strong bias toward backend systems, distributed architecture and deep technical leadership. We value the ability to guide teams toward pragmatic, high-impact solutions.

This role is ideal for an engineer who values simplicity, correctness, and pragmatism, and who can balance long-term platform investments with immediate business needs.

What You’ll Do

• Own critical systems end-to-end, including design, implementation and deployment,
• Hands on designing, building, and maintaining scalable features across a modern front-end framework and backend services.
• Architect for growth — help drive your pods’s technical roadmap and shepherd established engineering best practices.
• Collaborate across teams with product, design, and data to deliver measure, deliver and grows features quickly and iteratively.
• Mentor and guide senior engineers, raising the bar for technical execution and system design across teams.
• Balance ideal engineering with the realities of speed, customer needs, and startup resource constraints.
• Drive improvements in observability, performance, and incident response
• Advocate for pragmatic solutions, solving the right problems with the appropriate level of complexity.
  
  

What We’re Looking For

• 8+ years of experience building and operating production-grade systems, with a strong backend focus.
• Deep expertise in building high-performance, concurrent services.
• Proven experience designing and scaling distributed systems and service-oriented architectures.
• Strong understanding of API design, data modeling, and consistency tradeoffs Experience with cloud infrastructure (AWS, GCP, or similar) and modern deployment patterns (Docker, Kubernetes).
• Proficiency in several modern backend language (e.g., Go, Python, C#,, Java).
• Commitment to code quality, with solid grounding in design patterns, testing, and CI/CD.
• Strong grasp of scalability and performance, able to make informed tradeoffs between speed and correctness.
• Excellent communication skills and a collaborative mindset.
• A builder’s mentality, comfortable taking initiative and owning outcomes from design through production.
• A history of working with in 20+ person engineering organizations and collaborating with Product and Design to enable feature delivery at a reasonable velocity

Flowcode is not for everyone. We hire with a pinhole lens — only those with the rare combination of intellectual horsepower, execution velocity, and uncompromising drive will thrive here. If you are seeking to operate at the highest levels of performance and impact, we want to meet you.

How to Apply

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, or disability status.

A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The current range for this role is up to $280-$310k plus equity. 

About the Role

We’re looking for a Sr Staff Engineer, Quote-to-Cash (QTC) to design, optimize, and scale our end-to-end Q2C architecture across Salesforce CPQ, Malbek CLM, and NetSuite ERP.

You will be the functional and technical bridge between Sales, Legal, Finance, and IT, owning the design of a touchless transaction flow — from quote and contract creation to billing, revenue recognition, and cash application. 

This role requires deep expertise in Salesforce CPQ, a strong understanding of NetSuite financial processes & Provisioning automations and proven experience integrating CLM systems to create an automated, compliant, and auditable QTC experience.

Key Responsibilities

Solution Architecture & Process Design

• Own the end-to-end Quote-to-Cash architecture & development spanning Salesforce CPQ, CLM, and NetSuite ERP
• Design and implement a touchless transaction processing model, minimizing manual steps across quoting, contracting, billing, and revenue recognition
• Collaborate with Product managers and business stakeholders to gather requirements and translate them into scalable system solutions that balance automation, control, and compliance
• Work closely with the engineering teams to design, implement and operationalize the Q2C Solutions

Business Systems

• Lead system design for Salesforce CPQ, including product catalog architecture, pricing and discount rules, quote templates, and approval workflows
• Optimize quote-to-order conversion ensuring accurate data flow into downstream billing and ERP systems
• Implement governance on pricing, discounting, and quote approval thresholds to maintain margin and compliance integrity
• Partnering with Quoting & RevOps s to streamline quote generation, renewals, and amendment flows
• Improve deal velocity by streamlining approvals, leveraging A  in Salesforce CPQ
• Integrate CLM (e.g., Ironclad, Conga, or DocuSign CLM) with Salesforce to automate quote-to-contract and contract-to-order workflows
• Define metadata, clause libraries, and approval paths that enable self-service contract generation and touchless handoffs
• Ensure contract terms and deal attributes are accurately synchronized with Salesforce CPQ for accurate billing and revenue recognition downstream
• Design and govern integrations between Salesforce and NetSuite for order management, invoicing, and revenue recognition
• Define mappings between CPQ orders and NetSuite Sales Orders to support automated billing and journal entries
• Ensure strong data integrity, reconciliation processes, and audit readiness across CRM and ERP
• Design and oversee integrations using iPass tools such as Celigo, Workato, Boomi, or MuleSoft to ensure reliable and auditable data exchange across systems
• Implement event-based or API-driven integration patterns to support near real-time synchronization
• Establish monitoring, error handling, and reconciliation frameworks for transaction-level traceability
• Maintain architectural documentation, system diagrams, and process maps
• Ensure all solution designs adhere to SOX, data governance, and security compliance standards
• Identify and drive reduction of technical debt and manual touchpoints in the QTC ecosystem

Qualifications

Required

• 10+ years of experience in QTC or Finance Systems Architecture, with a focus on Salesforce CPQ and NetSuite ERP
• Proven experience integrating CLM platforms (Ironclad, DocuSign, or Conga) with Salesforce
• Accelerate the development lifecycle by utilizing AI for daily tasks, including coding, testing, and debugging
• Proven experience in automating end to end Touchless transactions across Q2C platforms using tools like Klarity and UiPath 
• Deep understanding of Quote-to-Cash business processes — including quoting, ordering, billing, provisioning and revenue recognition 
• Strong working knowledge of Salesforce data model, CPQ configuration (pricing rules, product bundles, approval chains), and NetSuite transaction workflows
• Experience with integration middleware (Celigo, Boomi, MuleSoft, Workato) and API design
• Exceptional analytical and problem-solving skills with a hands-on approach to system design and delivery

Preferred

• Deep experience in SaaS or subscription-based business models with recurring or usage-based revenue
• Exposure to Salesforce Billing or external billing tools integrated with NetSuite
• Prior experience designing touchless QTC flows in a SOX-compliant environment

Success in this Role Looks Like

• Deals progress from quote → contract → order → invoice → revenue with minimal manual intervention
• Salesforce, CLM, and NetSuite operate as a cohesive ecosystem, with synchronized data and clear ownership boundaries
• Finance and Sales teams have trust in system-driven accuracy — reducing close timelines and manual reconciliations
• You’re recognized as the go-to solution architect for all Quote-to-Cash initiatives

Why Join Us

You’ll be at the heart of modernizing how we recognize and grow revenue — architecting a frictionless, automated, and compliant Quote-to-Cash experience across Salesforce, CLM, and NetSuite. Your work will directly impact business velocity, revenue predictability, and cross-functional alignment between Sales, Legal, and Finance.

About MongoDB

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

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

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

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

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

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

Req ID: 1273405378

The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

About MongoDB

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

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

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

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

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

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

Req ID: 426187

We are looking for an experienced Senior or Staff Engineer for our SRE, InfraSec team, to guide the security of our cloud-based infrastructure. As a Staff SRE, you will be very hands-on technically while also mentoring a small team of SREs.

The InfraSec team collaborates closely with other engineering teams to ensure that our infrastructure adheres to the highest security standards. They build essential security infrastructure and implement controls that reinforce the platform’s security posture.

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions.This team is deeply involved in the technical aspects of security and the nuances of its actual implementation.

This role can sit in our New York City, Austin, Seattle or San Francisco offices on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones.

Responsibilities:

Cloud Security Design and Implementation:  

• Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)

Automation and Monitoring:  

• Build automated solutions for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection

Security Tooling:

• Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM 

Qualifications:

Experience:  

• 6+ years of experience in SRE, infrastructure engineering or similar role, with a strong focus on security work, with ideally 2+ years in a senior or staff engineering role

Security Mindset:

• A comprehensive understanding of all facets of cloud environment security, spanning from foundational OS networking layers to cloud provider configurations. Proven experience in leading projects within security-focused areas, such as runtime scanning, security observability, CSPM, and more

Cloud Expertise:  

• Strong experience with at least one cloud platform (AWS, Azure, GCP), including expertise in IAM, VPC networking, security groups, and cloud security tools (e.g., GuardDuty, Security Hub, CloudTrail)

Coding/Automation:  

• Proficiency in at least one programming language (we use Golang but are language agnostic when it comes to hiring ) and experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible) to automate security configurations and processes

Linux and Networking

• Understanding of the underlying Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems

Communication and Leadership Skills:  

• Strong ability to explain complex security concepts to both technical and non-technical teams. Ability to lead a small technical team and ensure success both meeting the team goals as well as personal growth for all team members

About MongoDB

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

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

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

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

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

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

Req ID: 1263064630

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location. 

The ideal candidate should

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

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

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

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

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

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

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

Req ID: 1273396252

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

This role can be based out of our Toronto or Montreal office or remotely in the Canada while physically based in an Eastern or Central time zone location. 

The ideal candidate should

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

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

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

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

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

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

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

Req ID: 1273396252

We are looking for a Staff Content Engineer to join our Builder Relations team. As more developers choose MongoDB as their data platform, your responsibilities will include directly engaging with the community to create inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to Fortune 500 companies—to integrate advanced data and AI capabilities into their applications and solutions. If you are passionate about inspiring and highlighting other builders and enjoy cultivating a vibrant developer ecosystem, we invite you to join us in shaping the future of development on MongoDB.

Our Builder Relations teams are distributed across the globe, with most members working remotely. This position will be based in the San Francisco Bay Area. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

Candidate Profile

We are excited to welcome an influential individual to our team who, through their professional experience, has developed a passion and expertise for MongoDB. You’re ready to lead creation of team- and community-contributed articles, tutorials, video, and code that show builders the possibilities of using our platform. 

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 8 years of experience in a builder role, such as a software engineer, architect, or developer, where they deployed data-solutions in production. Ideally, they will have additional experience in a customer-facing role (such as solution architect), teaching, or related technical role, where they’ve used code and content to support others. 

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with others at all levels, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

Below are examples of the types of work you will be doing. Your mix of activities will vary week to week based on priorities and event schedules. 

• Produce high-quality content. You will create narratives that showcase MongoDB's capabilities and motivate others to build applications using our platform
• Establish templates, reusable artifacts, and processes to scale the creation of  inspiring content and code with our most passionate and expert customers and community members
• Create and update tutorials, articles, videos, and workshops along with their associated workflows or workflows or code examples
• Highlight team, customer, and community contributions through social media, forums, and well-produced video
• Provide guidance, peer and technical review of code and content
• Work across teams to ensure code and content is placed in channels highly visible and influential to builders and agents
• Provide feedback to our Product and Technology team, serving as the voice of the developer as new products are scoped and planned
• Partner with our community team to support engagement with third-party and first-party user groups (MUGs), Champions, forums, and influencer programs across the region
• Lead one-hour sessions (both virtual and in-person) with customer teams to evaluate their use cases and provide recommendations on how they can better utilize MongoDB
• Collaborate with our events and field teams to engage community and customers at meetups, events, hackathons, and startup houses

Requirements

• Expertise in building solutions with MongoDB
• Expertise with one or more complementary programming languages (Python or JavaScript preferred)
• Prolific author of content (tutorials, how-to guides, readmes) and associated code to help developers learn
• Established portfolio or active contributor to projects in GitHub
• Engaging presenter at in-person events, videos, webinars, or live streams 
• Active user of AI-assisted coding tools, holding opinions on best practices for AI for creating code and supporting content
• Up to 33% of time traveling to community and customer engagements (like meetups, events, hackathons, and startup houses)

About MongoDB

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

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

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

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

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

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

Req ID: 1273416960

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems.

The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products.

This role can sit in our Toronto or Vancouver offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation.

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable.

The ideal candidate should

• Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles
• Possess a customer-focused mindset, driving improvements that benefit end-users
• Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”)
• Be intimately familiar with modern cloud-based infrastructure and the network design primitives of at least one of AWS, Azure, or GCP, e.g. VPCs, subnetting, routing, VPNs, peering, private link / private service connect, and CDNs
• Have a strong knowledge of service mesh and load-balancing concepts, and be eager to implement these in a multi-cloud environment

Expectations

• Participate in the development of a reliable and resilient multi-cloud globally-connected network that is crucial for MongoDB’s services
• Collaborate with service-owning teams to provide internal support, addressing technical issues and offering guidance on best practices for service-to-service connectivity
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to network architecture and service-to-service connectivity, ensuring minimal disruption and high availability

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 426185

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems.

The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products.

This role can sit in our NYC HQ, our smaller Austin, Palo Alto, or San Francisco offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation.

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable.

The ideal candidate should

• Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles
• Possess a customer-focused mindset, driving improvements that benefit end-users
• Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”)
• Be intimately familiar with modern cloud-based infrastructure and the network design primitives of at least one of AWS, Azure, or GCP, e.g. VPCs, subnetting, routing, VPNs, peering, private link / private service connect, and CDNs
• Have a strong knowledge of service mesh and load-balancing concepts, and be eager to implement these in a multi-cloud environment

Expectations

• Participate in the development of a reliable and resilient multi-cloud globally-connected network that is crucial for MongoDB’s services
• Collaborate with service-owning teams to provide internal support, addressing technical issues and offering guidance on best practices for service-to-service connectivity
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to network architecture and service-to-service connectivity, ensuring minimal disruption and high availability

About MongoDB

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

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

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

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

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

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

Req ID: 426185

As a TPM for SRE, you will partner with SRE leaders and engineers to scale the platform that underpins all of MongoDB’s cloud products. You will drive program execution, strengthen production reliability practices, and coordinate cross-functional efforts across US and EMEA teams. Success in this role means smoother launches, clearer roadmaps, stronger reliability metrics and an SRE organization that's better-equipped to deliver predictability at scale. 

The role will be based out of our New York City office with a hybrid working model.

What You'll Do

• Drive Program Planning & Execution – Define program scope, milestones, and success criteria with SRE engineers and leaders. Manage dependencies across platform teams, keep work clearly tracked in Jira, and deliver on time
• Strengthen Production Reliability – Lead change management and launch readiness programs. Partner with SREs and product teams to define and operationalize SLOs/SLIs, and use incident data, metrics, and capacity signals to drive prioritization and continuous improvement
• Lead Cross-Functional Coordination – Align SRE with Security, Compliance, Cloud platform, and other engineering teams. Coordinate cross-team incident response, ensure clear follow-through, and build trust as the go-to driver of complex, multi-team efforts
• Build Scalable Systems & Processes – Design lightweight frameworks and communication patterns that help SRE deliver reliably at scale. Work yourself out of the "hero" role by leaving teams better-equipped to execute independently

Requirements

• 8+ years in technical program management, engineering management, or a comparable technical role partnering with software engineering teams
• Proven track record leading large-scale, cross-team platform initiatives through ambiguity and change
• Strong knowledge of production change management, software development lifecycle, and reliability metrics (SLOs, SLIs)
• Skilled at shaping roadmaps and managing dependencies
• Able to query and interpret metrics, logs, or other data sources to inform decisions and communicate risk
• Excellent communicator—clear, concise, and calm—across engineers, cross-functional partners, and executives
• Low-ego, highly collaborative, and motivated by ownership of hard problems end to end

Nice to Have

• Hands-on or close-partner experience with Kubernetes, cloud networking, or observability stacks (metrics, logs, tracing, alerting)
• Prior experience working with or alongside SRE teams
• Background in large-scale cloud infrastructure or platform engineering
• Familiarity with MongoDB Atlas or other modern cloud database platforms

Why This Role

This role puts MongoDB's values into practice. You'll own hard, ambiguous problems end to end. You'll build together with SRE, engineering, Security, and Compliance to co-create solutions that work across the organization. And you'll think big—scaling the platform and practices that power MongoDB's next phase of growth. You'll be in the critical path of high-impact projects, working with executive stakeholders, and supported to grow in your career.

About MongoDB

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

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

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

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

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

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

REQ ID: 426078

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

About MongoDB

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

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

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

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

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

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

Req ID: 2263171228

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our Dublin office, or work fully remotely in Ireland.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 426183

The opportunity
Every day, we connect billions of players with the games and experiences they love.

Our Vector Gamer AI team sits at the heart of that mission, governing ad ranking and bidding decisions across billions of daily impressions, where large-scale machine learning and real-world impact converge at scale.

We're hiring a Staff Backend Engineer to build and operate the infrastructure those models depend on. You'll design and operate the distributed systems that power billions of daily decisions, with a focus on the performance, reliability, and scalability of inference systems.

Join us and help influence how billions of gaming experiences are discovered, monetized, and how creators are rewarded.

What you'll be doing

• Design, develop, and deploy production-grade backend services and distributed systems powering large-scale online model inference at billions of daily requests
• Drive technical direction of our inference platform, with a focus on low-latency, high-throughput serving infrastructure
• Partner with ML engineers to ensure online serving infrastructure scales with growing model complexity and inference volumes, without compromising latency or throughput
• Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana.
• Manage and optimize cloud infrastructure on GCP, orchestrating workloads with Kubernetes across a high-scale production environment
• Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE).

What we're looking for

• 5+ years designing, deploying, and maintaining distributed systems at scale
• Expertise in Golang for building high-performance, low-latency backend infrastructure
• Hands-on experience with cloud infrastructure on GCP and workload orchestration with Kubernetes
• Strong grounding in monitoring and observability tooling, including Prometheus and Grafana
• Experience in ad tech, recommender systems, real-time personalization, or other performance-critical domains
• Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices
• Familiarity with machine learning platforms, workflows, and serving infrastructure

You might also have

• Experience with ML inference servers like NVIDIA Triton Inference Server.
• Familiarity with auction mechanics or bidding systems in an ad tech context.
• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

• Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

About the Role

The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale.

Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.

What You'll Do

• Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
• Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps
• Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
• Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Are curious about LLM serving; prior inference or ML experience is not required
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Strong Candidates May Also Have Experience With

• Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
• Have experience working with external partners to align goals and deliver impact
• Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
• Solid understanding of multi-region deployments, geographic routing, and global traffic management
• Proficiency in Python or Rust

The Role

We're looking for a Staff Backend Engineer to join our Customer Value Optimization (CVO) tribe at HelloFresh. This is a high-impact individual contributor role sitting at the intersection of Data Science and Backend Engineering — you'll be the technical bridge that turns ML models into reliable, scalable production systems.

You'll work across squads within the CVO tribe, partnering closely with Data Scientists and Backend Engineers to define how we serve ML models at scale, raise the technical bar, and accelerate the tribe's ability to deliver value to our customers.

What you’ll do

• Design, build, and own robust, scalable infrastructure for live serving of ML models in production
• Act as the technical bridge between Data Science and Backend Engineering teams within the CVO tribe — translating DS needs into scalable engineering solutions
• Define and drive best practices for model serving, APIs, and system design across squads
• Lead cross-squad technical initiatives, from architecture decisions to hands-on implementation
• Partner with Data Scientists to ensure models are production-ready — performant, observable, and maintainable
• Contribute to tribe-wide engineering standards and shape the technical roadmap
• Mentor and support engineers across squads without direct line management responsibility

What you’ll bring

• 7+ years of backend engineering experience, with a strong foundation in Python
• Proven experience building and operating ML model serving systems or ML platforms in production
• Deep understanding of distributed systems, APIs, and microservices architecture
• Strong track record of working across team boundaries to deliver complex, cross-functional projects
• Excellent communication skills — able to work fluently with Data Scientists, Machine Learning Engineers, and Data Engineers
• A collaborative, low-ego approach with strong technical judgment

Nice to Have

• Experience with ML frameworks and serving tools
• Familiarity with feature stores, model registries, or MLOps tooling
• Background in e-commerce, subscription, or personalization domains

About the Role:

We're looking for seasoned full-stack software engineers to join the teams behind Gusto's customer-facing products — the features and experiences that small business owners and their employees rely on every day.

As a Staff Software Engineer, you'll operate across the full product lifecycle: shaping features from early spec and design through to launch and long-term iteration. That means writing clean frontend code, designing and building reliable backend APIs, influencing product direction, and taking ownership of what happens after a feature ships. 

If you're drawn to work that combines technical craft with real-world impact — helping power the livelihoods of millions using Gusto products — join us!

Here’s what you’ll do day-to-day:

• Design, build, and test Gusto core products such as Payroll, Benefits, HR, Retirement, Gusto Money, Gusto Solo, and Gusto Pro, among others
• Mentor other engineers to help solve some of the hardest technical problems out there in very complex domains and at a large scale
• Help scale one of the largest Ruby/Rails and Javascript/React applications in the world
• Collaborate with our Product Management, Data, Design, and Platform Engineering teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch daily
• Build products that our customers genuinely love

Here’s what we’re looking for:

• Successful applicants typically have 8+ years of software development experience
• Experience building scalable solutions that eliminate customer pain; passion for creating memorable experiences for customers
• Experience leveraging AI tools or systems to accelerate development, improve testing, and deliver new product capabilities
• Curiosity and experimentation with emerging AI frameworks, applying and sharing best practices to evaluate and scale AI use safely across teams
• Experience owning multi-quarter projects that solve complex engineering problems and make measurable customer impact at scale
• Experience with large scale refactors, performance and reliability issues, and a strong sense of ownership over all aspects of your product area
• Ability to mentor engineers to maximize their performance and impact

Others:

• Experience in, or interest working in, Ruby on Rails 
• Appreciation for a collaborative, test-driven environment
• Ability to build well-structured, maintainable, well-documented code
• Ability to effectively communicate across engineering teams and with business stakeholders

Do you prefer platform development instead? Check out our Staff Software Engineer, Core Platforms job listing. 

Please note that a two day travel to a Gusto office for onboarding is required for this position. If you have any questions regarding this requirement, please share with your recruiter.

Our cash compensation amount for this role is targeted at $163,000–$204,000 in Denver & most remote locations, and $197,000–$247,000 for San Francisco & New York. 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.

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

Block is building the next generation of commerce experiences for merchants and PSPs through Afterpay, Cash App Pay, Clearpay, and Cash App Afterpay. As part of Block's Solutions Engineering team, you will be a senior technical leader driving complex partner and merchant integrations. You'll work directly with business development, sales, and product teams to deeply understand customer needs, showcase our APIs and services, and solve challenging technical problems that accelerate adoption.

You Will

• Partner with Sales & Account Management to support sellers integrating with our platform, and co-sell Cash App Afterpay's Developer Platform.
• Design and deliver technical solutions, including building proof-of-concepts, custom reports, sample integrations, and troubleshooting complex issues.
• Be a trusted technical advisor - translating business requirements into scalable integration approaches and advocating for best practices.
• Collaborate with product and engineering teams to surface partner feedback and influence the roadmap.
• Create compelling demos, presentations, and technical deep dives for both executives and engineering.
• Communicate product features, updates, and technical guidance across internal and external audiences.

You Have

• 7+ years of experience in technical customer-facing roles (partner engineering, solutions architecture, sales engineering, or similar), working with enterprise merchants or global partners.
• Deep hands-on technical expertise - comfortable building with APIs, debugging integrations, and guiding developers through complex implementations.
• Prior professional experience with full-stack development and proficiency in at least one programming language.
• Experience leading technical projects end-to-end in globally distributed, multicultural teams.
• A willingness to travel for onsite client meetings (10-20%)

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

The Role

We’re excited to invite a Senior Staff Engineer to join our amazing team at SoFi! We are on a journey to build out a new team dedicated to developing innovative crypto products and services for our members. With recent developments paving the way for SoFi to re-enter the crypto space, we’re eager to expand our product offerings with intuitive, secure, and fully-featured solutions across crypto Investing, Transfers, Payments, Custody, and beyond.

As a member of our team, you’ll be right in the heart of the action—implementing functionality, architecting our systems, squashing bugs, maintaining the health of our code, and continuously growing as an engineer. We’re looking for someone who is both forward-thinking and hands-on, with a strong sense of ownership and a passion for delivering results. You’ll also be a great mentor and co-worker! At SoFi, we take pride in the collaboration between Product, Design, and Engineering, and you’ll be involved in the entire product lifecycle—from ideation through building, deploying, and ongoing improvement and evolution.

Joining SoFi means becoming part of a new kind of finance company with a mission to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, helping everyone get their money right. We started with student loan refinancing, tackling the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Since then, we’ve expanded our products and services across loans, wealth management, and insurance. SoFi has seen significant growth and has ambitious plans ahead, but to continue this journey, we need talented individuals like you!

Key responsibilities:

• Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
• Debug and resolve complex systems issues in high-scale, real-time services.
• Build high-quality, scalable systems with a focus on performance, security, and reliability in crypto products.
• Shape the technical architecture across SoFi’s crypto stack—wallets, custody, trading, and beyond.
• Drive new ideas and technical strategies that push our crypto offerings forward.
• Raise the bar on engineering through code quality, mentorship, and setting strong technical standards.
• Apply deep knowledge of crypto protocols, smart contracts, and blockchain infrastructure.
• Collaborate across teams to deliver reusable crypto services and integrate with SoFi’s broader platform.
• Mentor engineers and contribute to a culture of technical growth and curiosity.
• Lead discussions, reviews, and decisions across teams and with senior technical leadership.
• Make smart, pragmatic decisions that balance speed and quality.
• Stay curious—constantly learning new tools, protocols, and patterns in the evolving crypto space.
• Ask hard questions, give and take feedback well, and thrive in a collaborative, fast-moving environment.

What you'll need:

• 10+ years of programming experience, with significant experience in modern languages and familiarity with AI tools.
• BS Degree or equivalent from a fully-accredited college or university preferred.
• Expert understanding and hands-on experience building and operating large-scale fault-tolerant distributed systems, workflows, databases, and mobile/web applications.
• Expertise with Java / Spring / Kotlin / PostgreSQL / AWS, and any modern Java frameworks, REST APIs, and relational databases.
• Deep understanding of code release, deployment orchestration/rollout mechanisms, logging, instrumentation, monitoring, and alerting in a microservices environment.
• Experience with public cloud infrastructure.
• Excellent verbal and written communication skills and ability to work with stakeholders across disciplines.
• Understanding of blockchain fundamentals and distributed ledger technologies.
• Familiarity with digital assets across major chains (Bitcoin, Ethereum, etc.).
• Hands-on experience with smart contracts is a plus.
• Familiarity with custody, settlement, and clearing of crypto transactions.
• Experience with security and best practices for wallet management.
• Exposure to crypto trading platforms, market data, and DeFi protocols.
• Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage).
• Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions.
• Prior work in or collaboration with crypto-native companies or fintechs.
• Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services.

About the Role

We are seeking a highly skilled and experienced Principal Engineer to join our Engineering team. As a Principal Engineer, you will be responsible for leading the design, development, and implementation of our brokerage systems. You will work closely with our engineering team and other stakeholders to create scalable, low latency, and highly available trading systems. 

What You’ll Do

• Responsible for the technical architecture, design and delivery of high performance, low-latency brokerage systems using Java/Golang
• Assesses the health and performance of software applications and databases and provides software and technology solutions
• Design, develop, and maintain REST APIs and microservices.
• Work with the Broker Dealer Operations teams to support and enhance the trading and backend system for multiple asset classes like Equities, Options, Mutual Funds etc
• Define specifications and develops components, modifies existing software stack, prepare test data, and prepares functional specifications
• Analyze Service and application performance using various programming
• languages, tools and techniques
• Develop and maintain automated testing frameworks and CI/CD pipelines
• Provide technical leadership and mentorship to the engineering team
• Provide guidance to non-technical staff in using software and hardware systems most effectively and efficiently
• Support applications with an understanding of system integration, test planning, scripting, and troubleshooting
  
  

What You’ll Need

• Bachelor’s degree in Computer Science or related field or equivalent experience
• At least 10 years of experience in Software Engineering with expertise in Java
• Must understand Test Driven Development and how to write effective unit/integration tests
• Strong understanding of CI/CD and automated testing frameworks
• Proficient in developing and maintaining robust REST APIs and implementing sophisticated event-driven architectures with Kafka and Kubernetes
• Background in financial technology or capital markets is required
• Proficient in No SQL, SQL and Stored Procedures such as in Postgres, MySQL
• Experience with Unix, Linux Operating Systems
• Knowledge of Jira, Git, Jenkins
• Experience with a 24x7, highly-available architecture
• Strong experience with Amazon Web Services
• Experience with Scrum and other Agile processes
• Strong communication skills
• Strong analytical and problem-solving skills
  
  Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.

Special Knowledge (Nice to Have, But Not Rqequired)

• Experience with Amazon Web Services
• Experience with Linux and writing scripts to extract and transform data
• Multiple years experience in fin-tech specifically Post Trade, Payment or SaaS