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.

About Scale

At Scale AI, 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 abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About Data Engine

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), 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.

Our Approach 

As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.

Responsibilities:

• Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers
• Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal
• Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions
• Own core systems critical to our contributor platform, with direct impact on Scale’s GenAI data pipeline and business outcomes
• Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency
• Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence
• Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements

Requirements:

• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Proven track record of shipping production systems at scale
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
• Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Strong product sense and ability to translate ambiguous problems into technical solutions
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
• Excited to join a dynamic hybrid team based in San Francisco or New York City

WHO WE ARE 

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

Position Overview 

Zeta Global is seeking a Lead Software Engineer to join the Opportunity Insights team. This role is for a highly experienced engineer who operates at system and platform scope — someone who can define architecture, drive technical direction, and deliver scalable, data-intensive systems that power marketing intelligence products. 

You will lead the design and evolution of distributed systems running on AWS and Kubernetes (EKS), enabling large-scale data processing and real-time insights across billions of data points. This role requires deep expertise in distributed systems, strong architectural judgment, and the ability to influence engineering standards across teams. 

What You’ll Do 

• Define and evolve the architecture of scalable, distributed systems deployed on AWS. 

• Design and operate microservices and data-intensive workloads running in Kubernetes (EKS). 

• Lead technical design for systems that process and analyze large-scale datasets (high-volume, high-velocity, and high-variety data). 

• Establish patterns and best practices for building resilient, observable, and performant services. 

• Partner with Product, Data Science, and Engineering leaders to translate business strategy into long-term technical roadmaps. 

• Drive cross-team technical initiatives and influence architecture decisions beyond your immediate team. 

• Optimize data storage, retrieval, and processing strategies across relational and NoSQL systems. 

• Mentor engineers, raise the bar on design and code quality, and lead through technical example. 

• Take end-to-end ownership of critical platform components, ensuring long-term scalability and maintainability. 

Requirements 

• 8+ years of experience building and scaling production-grade distributed systems. 

• Strong foundation in computer science, distributed systems, and large-scale system design. 

• Proven experience architecting systems that operate on large datasets (event streams, batch + real-time pipelines, high-throughput services). 

• Deep hands-on experience with AWS, including EKS, EC2, S3, RDS, IAM, Lambda, CloudWatch, and infrastructure-as-code practices. 

• Strong expertise in Kubernetes (EKS) and containerized microservices architectures. 

• Experience with streaming and data infrastructure technologies such as Kafka, Elasticsearch, and NoSQL databases (e.g., Aerospike). 

• Strong proficiency in Java, Python, Ruby, or similar object-oriented languages. 

• Experience designing APIs and service communication layers (REST, gRPC, Thrift). 

• Demonstrated ability to lead technical design reviews and influence engineering direction. 

• Excellent problem-solving skills and ability to operate independently in a fast-paced environment. 

• Experience leveraging AI-powered development tools to improve engineering productivity. 

Preferred Qualifications 

• BS or MS in Computer Science or related field. 

• Experience building platforms that support ML or advanced analytics workloads. 

• Experience modernizing or evolving legacy systems into scalable cloud-native architectures. 

• Track record of leading high-impact, cross-team engineering initiatives. 

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 $190,000 - $205,000, 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

P-1549

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

The Mission

Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter's revenue, debugging a failing job, generating SQL against a 10,000-table lakehouse, or summarizing a Wiki page, its quality is bounded by what it can find — and how well it understands what it finds.

We are hiring a Senior Staff Applied AI Engineer to own context retrieval for Databricks agents across SaaS providers. This is a zero-to-one role with two deeply connected charters:

1. Build the retrieval stack — query understanding, content understanding, ranking, retrieval, and evaluation — across the Enterprise SaaS data stored across multiple systems.
2. Build the search subagents that sit on top of that stack and reason about what context is needed, how to retrieve it, and whether the right thing actually came back — closing the loop between an agent's intent and the substrate that serves it.

If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate — and the agents on top of it — that make every Databricks agent measurably smarter, this role is for you.

What You Will Do

• Build the full retrieval stack from scratch. Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the architectural calls that will define how Databricks agents access context for years to come.
• Retrieve across heterogeneous data — structured and unstructured. Index and rank across structured assets (tables, columns, SQL queries, dashboards, code, notebooks, jobs) and unstructured content (docs, wikis, tickets, chat, images, video, audio). Each modality has its own signals — design retrieval that exploits them rather than flattens them.
• Connect to the SaaS surface area customers actually use. Build connectors and retrieval adapters for the systems where enterprise knowledge lives. Treat each retrieval source with its own freshness, permissions, and ranking signals.
• Optimize for two consumers at once. Retrieval must serve both LLMs (grounded, token-efficient, hallucination-resistant context) and humans (intuitive, explainable discovery). These are different objectives and require different signals — own both.
• Crack query understanding for agents. Agent queries don't look like web queries. Build query rewriting, decomposition, intent classification, and entity resolution tuned for multi-turn agentic workflows.
• Crack content understanding at scale. Build the pipelines that extract structure, entities, embeddings, summaries, and metadata from every supported asset type — and keep them fresh as customer data evolves.
• Build search subagents that reason about retrieval. Design the agentic layer that decides what context is needed, which sources to query, how to decompose and route the search, and — critically — whether the retrieved content is actually sufficient to answer the question. These subagents will plan multi-hop searches, issue follow-up queries when results are weak, ground claims against retrieved evidence, and hand back high-confidence context (or signal failure) to upstream agents. This is where IR meets agentic reasoning.
• Build the evaluation flywheel for both retrieval and subagents. Stand up offline evals (nDCG, MRR, Recall@K, Precision@K), LLM-as-judge harnesses, human-in-the-loop labeling, and online experimentation. Extend evaluation beyond ranking metrics to measure subagent decision quality — did it ask the right follow-up?, did it correctly recognize when retrieval failed?, did it ground its answer in the right evidence?. Quality you can't measure is quality you can't ship.
• Set technical direction and grow the team. Set the multi-year roadmap, mentor senior engineers, partner with Research, Product, and Platform leaders, and raise the technical bar across the org.

What We're Looking For

• 10+ years of software engineering experience, with significant time spent building production retrieval, search, or RAG systems at scale.
• Deep Information Retrieval (IR) expertise: lexical retrieval (BM25, Lucene/Elasticsearch/OpenSearch), dense retrieval (embeddings, ANN indexes — FAISS, ScaNN, HNSW), hybrid retrieval, and learning-to-rank.
• Hands-on experience with modern LLM-era retrieval: RAG architectures, query rewriting, re-ranking with cross-encoders, long-context strategies, and grounding techniques that reduce hallucination.
• Experience designing agentic systems on top of retrieval — search planners, multi-hop / iterative retrieval, self-reflection and sufficiency checks, tool-using agents that decide what to fetch and verify what came back.
• Strong grasp of relevance evaluation: nDCG, MRR, Precision@K, Recall@K; offline/online experimentation; LLM-as-judge frameworks; building human labeling pipelines.
• Experience working across structured and unstructured data — you've indexed and ranked over tables, code, and documents in the same system, and have opinions about how to do it well.
• Track record of building 0→1: you've stood up a retrieval system from an empty repo, made the foundational architectural decisions, and grown it into something that customers depend on.
• Demonstrated ability to operate as a technical leader: setting direction across teams, mentoring senior engineers, and influencing roadmap with research, product, and platform partners.

Nice to Have

• Experience building retrieval over enterprise SaaS sources (permissions, freshness, multi-tenancy, ACL-aware indexing).
• Background in agentic systems, tool use, or multi-turn retrieval for LLM agents.
• Contributions to open-source IR/search projects, or publications at SIGIR, KDD, WWW, EMNLP, or similar venues.
• Experience training or fine-tuning embedding models, rerankers, or query understanding models.

Why This Role

• Foundational impact. Retrieval is the single biggest lever on agent quality. The stack you build will sit underneath every Databricks agent and every customer-built agent on our platform.
• Greenfield with scale. You get the rare combination of starting from a clean sheet and having immediate access to massive enterprise scale, real customer data, and a world-class research org.
• The right team. You'll work alongside engineers and researchers behind Lakehouse, Apache Spark™, Delta Lake, MLflow, MosaicML, and DBRX.

Location

This role is based in our Mountain View, CA or San Francisco, CA office. Hybrid in-office collaboration expected.

The Database Infrastructure team develops and operates all of Discord’s databases and data services. Those systems store the data of Discord's 200M+ monthly active users—including trillions of messages! We work across multiple areas: databases, disk storage and Rust-based data access services. We're a small team whose work has a huge impact on our company's success and ability to grow!

Some blog posts from the team:

• How Discord Indexes Trillions of Messages
• How Discord Stores Trillions of Messages
• How Discord Supercharges Network Disks for Extreme Low-Latency

You will:

• Build and operate large-scale, reliable and performant data systems with ScyllaDB, PostgreSQL, ElasticSearch, Linux and Rust.
• Collaborate with product and infrastructure teams to develop storage primitives enabling all of Discord.
• Exercise "First Principles Thinking" to always deliver what matters most to our users.
• Work with a talented team of engineers who have built one of the largest communication platforms in the world.

You have:

• 2-4 years of experience with building backend infrastructure
• Ability to troubleshoot, debug, and test complex systems in a live, production environment
• Strong operating systems, distributed systems, and concurrency control fundamentals
• Proficiency with at least one statically-typed programming language: e.g. Rust, Go, Java, C, C++
• Comfortable working in fast paced environments

Bonus Points:

• Experience with highly-available and distributed databases: e.g. ScyllaDB, Cassandra, Vitess, Postgres w/HA, etc.
• Experience with Rust
• Knowledge of DevOps tools like Salt, Terraform or Kubernetes

More things that might interest you:

• We’ve tackled a lot of fascinating technical challenges over the years, and blogged about it regularly:
  • How Discord Stores Trillions of Messages
  • 25% or 6 to 4: The 11/6/23 Authentication Outage
  • How Discord Supercharges Network Disks for Extreme Low Latency
  • Why Discord is switching from Go to Rust
  • How Discord Indexes Billions of Messages
  • How Discord Stores Billions of Messages
  • How Discord Indexes Trillions of Messages
• One of our team members even wrote a book on ScyllaDB
• We present at conferences:
  • How Discord Indexes Trillions of Messages by Vicki Niu
  • How Discord Performs Database Upgrades at Scale by Ethan Donowitz

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Discord's Infrastructure organization is the backbone of everything our users experience. From the real-time delivery of 40M+ events per second to storing trillions of messages, our systems power the connections between 200M+ active users. As a Principal Engineer in this organization, you'll operate across our infrastructure teams to shape our technical vision and keep Discord running reliably at massive scale.

This is a role for someone who thrives at the intersection of deep technical expertise and organizational leadership. You'll contribute to the long-term infrastructure roadmap, tackle our most complex and ambiguous technical challenges, and ensure Discord's systems remain reliable, efficient, and ready for the next 200M users.

You will:

• Lead Discord's most critical infrastructure initiatives.
• Define and drive the technical vision and multi-year roadmap for Infrastructure, aligning teams around shared architectural principles.
• Partner with leadership across the company to ensure infrastructure capabilities enable product innovation.
• Design systems that balance reliability, cost-efficiency, and scalability.
• Mentor and grow senior engineers across multiple teams, raising the technical bar organization-wide.
• Represent Discord's engineering culture externally through blog posts, conference talks, and open source contributions.

You have:

• 10+ years of experience building and operating large-scale distributed systems.
• Experience architecting complex infrastructure serving hundreds of millions of users with strict uptime requirements.
• Deep expertise in backend systems, databases, and the operational realities of running systems at scale.
• Ability to navigate significant ambiguity and make sound technical decisions that hold up over time.
• Experience influencing technical direction across many teams without direct authority.
• Strong communication skills and you can articulate complex technical concepts to any audience and build alignment around your vision.
• A passion for mentorship and raising the capabilities of engineers around you.

Bonus points:

• Experience with Rust, Elixir, or Python in production systems.
• Expertise with distributed databases like ScyllaDB, Cassandra, or similar.
• Expertise building large scale chat products.
• History of open source contributions.

Things that might interest you:

• Our languages: Rust, Elixir, and Python.
• Our databases: ScyllaDB, Postgres and Elasticsearch.
• Our systems are deployed in Google Cloud.
• Our infrastructure teams shared many blog posts over the years. Some highlights:
• How Discord Stores Trillions of Messages
• Maxjourney: Pushing Discord’s Limits with a Million+ Online Users in a Single Server
• Modern Image Formats at Discord: Supporting WebP and AVIF
• How Discord Supercharges Network Disks for Extreme Low Latency
• Using Rust to Scale Elixir for 11 Million Concurrent Users
• Why Discord is switching from Go to Rust
• One of our engineers literally wrote the book on ScyllaDB.
• We open sourced some of our work, like our media processing library lilliput, or various Elixir utilities like manifold, sorted_set_nif and more.

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). For this role, the hiring manager would like folks to be in the office 1 day a week. Relocation assistance may be available.

The US base salary range for this full-time position is $400,000 to $500,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

About the Team

Our engineering team is made up of people from varied industries, including engineers who built and scaled large, well known organizations. We build modern software with modern techniques like TDD, continuous delivery, DevOps, and service-oriented architecture. Cross-functional partnerships are deeply meaningful to us and are how we’ve built up immense trust with the people running the business. We focus on high-value products that solve clearly identified problems and are designed in a sustainable way so that value continues to deliver in the long term. In fact, some of our proudest moments come from solving business problems without writing a line of code. 

About the Role

We are seeking a skilled and visionary Fulfillment Engineering Manager to lead a team of talented engineers in revolutionizing our fulfillment systems. This role involves driving innovation and transformation across core areas, including Order Management (OMS), Inventory Management, Warehouse Management (WMS), and Transportation Management Systems (TMS). In this role, you will oversee the development, support, and optimization of solutions that streamline fulfillment operations, enhance the fulfillment experience, and deliver measurable business impact. This position requires a blend of technical expertise, team leadership, and strategic planning. You will work closely with cross-functional teams, including operations, product, and algorithms, to design and implement scalable systems that meet the demands of a rapidly evolving business landscape.

We are a distributed team that collaborates across 4 time-zones and we love building relationships that enable everyone to learn & ask questions. With a strong focus on growth and personal development, Stitch Fix is the ideal place to develop your skills in an environment that is built on mutual trust and respect.

About the Technology

Technologies we rely on to pursue solutions to business problems include:

• Go-Lang
• Ruby and Ruby on Rails
• Kafka 
• RabbitMQ
• Redis
• Postgres
• We use GitHub, Slack, and video conferencing extensively to collaborate.
• We value pull requests, one-pagers, and screencasts to develop rapid prototypes that demonstrate new features.
• Our workflow depends on testing and Continuous Integration—we rely on automated tests and deployment.
• We have a distributed, service-oriented architecture—we’re using tools like Kafka, RabbitMQ, ElasticSearch, REST services, and GraphQL to scale our team and software.

You're excited about this opportunity because you will…

• You will manage, mentor, and inspire a team of engineers, fostering a culture of collaboration, innovation, and growth by challenging them to do their best work.
• You will define priorities and deliverables for projects that optimize fulfilment systems, ensuring alignment with business goals.
• You will partner with product managers, operations, and algorithms teams to continuously improve fulfillment processes and customer delivery experiences.
• You will ensure system reliability, scalability, and performance, minimizing disruptions to daily operations.
• You will drive initiatives to modernize fulfillment systems, improve workflows, and reduce inefficiencies.
• You will act as a key point of contact for stakeholders, providing updates on team progress, challenges, and milestones.
• You will find, hire, and develop people that compliment each other as a diverse, inclusive team.
• You will facilitate technical design discussions, remove blockers and align stakeholders.
• You will inspire an atmosphere of continuous improvement by serving as a coach, mentor, and technical advisor.

We’re excited about you because…

• You have experience with warehouse management systems, order management systems, transportation management systems, distribution center software, or similar solutions.
• You bring 3+ years of experience building and scaling real-time solutions, including 1-2+ years managing high-performing engineering teams.
• Your experience leading distributed teams across multiple time zones is a strong plus.
• You have a proven track record of delivering impactful, customer-focused solutions aligned with business objectives
• You have extensive hands-on experience with one of the widely used programming languages, such as Golang, Java, or similar.
• You are passionate about mentoring team members and supporting their professional growth.
• You prioritize clear, honest communication and build strong, collaborative teams based on trust and autonomy.
• You excel at setting and communicating clear priorities to your team and cross-functional partners.
• You are flexible, pragmatic, and committed to building high-quality solutions that meet user needs.
• You have experience refining development processes to improve team efficiency and outcomes.

Why you'll love working at Stitch Fix...

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives— all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do. 
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $199,680 - $249,600

*This is a remote role

#LI-Remote

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.

What you’ll do

Responsibilities

• Develop scalable computer systems that manage a large volume of information and use them to fulfill business goals for Stripe and its partners; 
• Design, implement and deploy adaptable rules systems that use this information to output internal assessments, perform scoring, and derive automated actions for mitigating financial risk and increase the efficiency of Stripe’s global risk mitigation program; 
• Design and build tools that ingest and process signals from various sources to make them more accessible for our partner teams; 
• Participate in all parts of the software development workflow and see the projects through to completion, including their large-scale deployment; 
• Improve engineering standards, tooling, and processes; 
• Debug production issues across services and multiple levels of the stack using one of Go, Java, Python, or Ruby; 
• Design, build, and maintain APIs, services, and systems using one of Go, Java, Python, or Ruby across Stripe’s engineering teams.

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

Bachelor’s degree or foreign equivalent in Computer Science, Information Networking, or related, plus 2 years of Software engineering and information network experience.

Position also requires the following:

• 2 years of experience building software solutions using Go, Java, Python, or Ruby;
• 2 years of experience writing analytical queries using SQL/PromQL/Elasticsearch and performing data analysis and monitoring;
• 2 years of experience designing, building, and maintaining scalable distributed systems;
• 2 years of experience translating business needs into software requirements and designs;
• 2 years of experience debugging production issues across services and multiple levels of the stack; and
• 2 years of experience in developing APIs within distributed systems, utilizing both RPC and RESTful APIs for service communication.

Salary: $156,800.00 - $235,200.00

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week.

50% remote work permitted.

Multiple Positions Available. 

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. CA15. 

#LI-DNI

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Engineering Manager, Developer Experience & Observability 

The mission

We don’t just build APIs; we build the lens through which thousands of global merchants view their integration. As the Engineering manager for developer observability, you will lead a specialized team dedicated to making the "invisible" visible. Your goal is to eliminate the guesswork for developers.

You aren't just managing infrastructure; you are building a product suite that provides real-time clarity. You’ll ensure that when a developer integrates with us, they have the telemetry, debugging tools, and insights to move from "first request" to "production" with zero friction.

The Role

This is a hands-on technical leadership role. You will guide a full-stack team of engineers who balance lean experimentation with the rigors of high-scale reliability. You’ll oversee the systems (PostgreSQL, Kafka, Elasticsearch) that power our API Logs and Developer dashboards, transforming raw data into actionable guidance for our partners.

What you'll do:

• Maintain a strong product mindset, move beyond standard monitoring to build "Customer-Centric Observability"—tools that tell a developer exactly why a payment failed or how to optimize their integration. You will propose new features and collaboratively shape the future direction of the product.
• You’ll participate in architectural designs and code reviews, ensuring our data tech stack (Kafka/Elasticsearch) delivers near real-time insights at scale (~3.5 billion events weekly growing fast). Act as a technical leader and domain expert for your teams products, challenging and driving technical design and solutions to ensure an exceptionally high technical bar. You will be the point person for product technical decisions, speaking for the product across the organization and to customers.
• We value "live" over "perfect." You will lead your team to ship functionalities within weeks, not months, impacting millions of transactions globally. Work closely with Product Managers to manage project timelines while proactively addressing technical debt, and enforcing best engineering practices.
• Coach, mentor, and build a high-performing team of Backend and Frontend engineers. You will be responsible for continuous performance management, professional development, and maintaining a culture of rapid, top-notch execution.

Who you are:

• You believe integration should be effortless. You care about the "inner loop" and the ergonomics of an API.
• You are deeply comfortable with Java, SQL, and distributed systems. You don’t just know how to run a database; you know how to build services on top of it that people love to use.
• You have experience with large-scale systems but prioritize the product knowledge and customer experience over technical complexity for its own sake.
• You thrive in autonomy and ambiguity, and you value diverse perspectives when solving "unsolvable" scaling or UX challenges.

Minimum Qualifications:

• 5+ years of technical experience, with a significant background as a hands-on Software Engineer.
• 3+ years in a leadership role, managing high-performing engineering teams while maintaining "boots on the ground" technical literacy.
• Proven track record in building developer-facing tools, observability platforms, or high-traffic API products.
• The "Plus": Experience in payments or building external-facing developer consoles/dashboards.

The annual base salary range for this role is $215,00 - $320000 in San Francisco, plus RSUs; to learn more about our compensation philosophy, please click here.   

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines.

You must be work authorized in the United States without the need for new visa sponsorship. The company can support visa transfers but will not sponsor individuals for H-1B CAP applications.

San Francisco 

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

This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Engineering Manager, Developer Platform & Observability 

The mission

We don’t just build APIs; we build the lens through which thousands of global merchants view their integration. As the Engineering manager for developer observability, you will lead a specialized team dedicated to making the "invisible" visible. Your goal is to eliminate the guesswork for developers.

You aren't just managing infrastructure; you are building a product suite that provides real-time clarity. You’ll ensure that when a developer integrates with us, they have the telemetry, debugging tools, and insights to move from "first request" to "production" with zero friction.

The Role

This is a hands-on technical leadership role. You will guide a full-stack team of engineers who balance lean experimentation with the rigors of high-scale reliability. You’ll oversee the systems (PostgreSQL, Kafka, Elasticsearch) that power our API Logs and Developer dashboards, transforming raw data into actionable guidance for our partners.

What you'll do:

• Maintain a strong product mindset, move beyond standard monitoring to build "Customer-Centric Observability"—tools that tell a developer exactly why a payment failed or how to optimize their integration. You will propose new features and collaboratively shape the future direction of the product.
• You’ll participate in architectural designs and code reviews, ensuring our data tech stack (Kafka/Elasticsearch) delivers near real-time insights at scale (~3.5 billion events weekly growing fast). Act as a technical leader and domain expert for your teams products, challenging and driving technical design and solutions to ensure an exceptionally high technical bar. You will be the point person for product technical decisions, speaking for the product across the organization and to customers.
• We value "live" over "perfect." You will lead your team to ship functionalities within weeks, not months, impacting millions of transactions globally. Work closely with Product Managers to manage project timelines while proactively addressing technical debt, and enforcing best engineering practices.
• Coach, mentor, and build a high-performing team of Backend and Frontend engineers. You will be responsible for continuous performance management, professional development, and maintaining a culture of rapid, top-notch execution.

Who you are:

• You believe integration should be effortless. You care about the "inner loop" and the ergonomics of an API.
• You are deeply comfortable with Java, SQL, and distributed systems. You don’t just know how to run a database; you know how to build services on top of it that people love to use.
• You have experience with large-scale systems but prioritize the product knowledge and customer experience over technical complexity for its own sake.
• You thrive in autonomy and ambiguity, and you value diverse perspectives when solving "unsolvable" scaling or UX challenges.

Minimum Qualifications:

• 5+ years of technical experience, with a significant background as a hands-on Software Engineer.
• 3+ years in a leadership role, managing high-performing engineering teams while maintaining "boots on the ground" technical literacy.
• Proven track record in building developer-facing tools, observability platforms, or high-traffic API products.
• The "Plus": Experience in payments or building external-facing developer consoles/dashboards.

The annual base salary range for this role is $215,00 - $320000 in San Francisco, plus RSUs; to learn more about our compensation philosophy, please click here.   

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines.

You must be work authorized in the United States without the need for new visa sponsorship. The company can support visa transfers but will not sponsor individuals for H-1B CAP applications.

San Francisco 

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

This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $100B+ under management across multiple funds.

We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.

The Role

You will join a fully functional team of experienced individual contributors building internal software tools for the firm’s investing and operations teams. You are a detail-oriented backend engineer with a strong interest in developing feature-rich, data-driven applications. Your work will focus on identifying, acquiring, and normalizing alternative data sources, and on designing and implementing secure, scalable backend systems that power our internal products.

The Applied Software Group operates in the mode of an internal startup. We own a tight feedback loop with our users and take on requests from all corners of the firm. This role offers meaningful ownership, frequent opportunities to ship, and close collaboration with experienced engineers who will support your growth and development.

This role requires an in-office presence 2-3 days a week in our San Francisco, CA office.

To join our team, you should be excited to:

• Build and maintain backend services that support internal data products and applications
• Work closely with investing and operations teams to understand workflows and translate requirements into reliable software solutions
• Contribute to the design and implementation of new features and systems, with guidance from more experienced engineers as needed
• Ship new data products iteratively, incorporating user feedback to continuously improve functionality and performance
• Take ownership of assigned services or projects, from development through production support
• Write clear, well-structured, and maintainable code
• Collaborate positively with teammates and contribute to an inclusive, supportive engineering culture
• Stay curious about new tools, technologies, and approaches relevant to backend and data systems

Minimum Qualifications

• 3+ years of professional software engineering experience
• Strong proficiency in Python 3 (or another backend language) and willingness to learn new technologies
• Experience deploying production services on at least one major cloud platform (GCP, AWS, or Azure)
• Experience working with production SQL and NoSQL databases (e.g., PostgreSQL, MySQL, Elasticsearch)
• Experience building and deploying containerized services; familiarity with Kubernetes is a plus
• Experience working in environments that value rapid iteration, code quality, and operational excellence
• Strong problem-solving skills and solid technical fundamentals
• Low ego, high empathy, and the capacity to collaborate effectively with diverse teams

The anticipated salary range for this role is between $269,000 - $314,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

This role is eligible to participate in the a16z Carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role

• Design and build new features and enhancements for our global ticketing platforms.
• Optimize for performance in scaling out our applications to handle massive spikes in traffic
• Create services that power the core of our infrastructure, implementing APIs and features for our mission critical back-end products.
• Optimize throughput and dynamically scale our distributed systems to handle traffic and requests in varying from the tens to hundreds of thousands.
• Design and develop scalable, public-facing APIs that enable scalable and robust integration with partner platforms.
• Work closely with other engineers, architects, business analysts, and product managers to create innovative solutions that continue to push the boundaries of our business.
• Participate in design and code reviews to ensure best practices and high-quality code.
• Develop consistent, well tested code on Open Source Programming Languages and Frameworks.
• Work on implementing and developing the latest security measures to fight against fraud and malicious bot attacks

• Have a direct impact on our applications that can scale and handle high demand, as well as complex enterprise systems that meet our global needs.
• Extraordinary People – we’re not kidding!
• Meaningful Mission - Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Opportunities for learning and leveling up through training and education reimbursement.

More about AXS

What is The Role

We're looking to add a new node to the Product Marketing cluster, focusing on Elasticsearch & AI. In this role, you will be a trusted technical marketing partner to the product leads, working closely on jointly defining the outbound strategy and go-to-market for Jina AI to developers. To be successful you will have experience marketing to developers and need to become comfortable with the technical aspects of Elastic’s products and solutions, including LLM and SLMs, the markets they play in, as well as, the creative aspects of positioning technology through messaging and narratives that are compelling, authentic, and differentiated!

What you will be doing:

• Act as a technical product marketing lead for the JIna AI, and take ownership of the strategy to drive awareness and market penetration of key capabilities
• Serve as an internal authority on the developer persona.
• Craft compelling, technical and differentiated outbound product messaging and content (like blogs, videos, tutorials, web pages, webinars that resonate with developers)
• Enable the field on our solutions, through training and content (e.g. pitch decks and playbooks.)
• Build and implement plans to reach and champion relationships with our developer and technology partner ecosystem.
• Plan and implement product launches (with operational marketing teams), including creating launch materials and content to support and coordinate with team members
• Build a positive partnership with peers in Product Management, Engineering and Community to effectively launch new features and products and engage with users
• Attend and present at Elastic events, third party trade shows and other events to help showcase our products to technical audiences.

What you Bring:

• 7-10 years of experience in product marketing in a technical environment.
• Proven track record of effectively marketing technical products to developers or technical audiences.
• Curiosity about the “how” of technology to tell compelling stories about the “why”
• Ability to work in a very cross functional role, with a highly distributed team
• Experience driving a GTM and crafting high quality assets
• Be a spokesperson for product capabilities and Elastic at large for internal and external audiences - including webinars, trainings, and analyst briefings
• Excellent spoken and written communication skills

Bonus Considerations

• Direct experience with developers, and audiences that build applications
• Product marketing experience with technical AI, SaaS or infrastructure products preferred
• Experience crafting engaging content for developers, including blog posts, decks, videos, etc.
• Comfortable marketing to technical leaders
• Familiarity with Elasticsearch, Elastic Platform or our solutions

What is The Role

We're looking to add a new node to the Product Marketing cluster, focusing on Elasticsearch & AI. In this role, you will be a trusted technical marketing partner to the product leads, working closely on jointly defining the outbound strategy and go-to-market for Jina AI to developers. To be successful you will have experience marketing to developers and need to become comfortable with the technical aspects of Elastic’s products and solutions, including LLM and SLMs, the markets they play in, as well as, the creative aspects of positioning technology through messaging and narratives that are compelling, authentic, and differentiated!

What you will be doing:

• Act as a technical product marketing lead for the JIna AI, and take ownership of the strategy to drive awareness and market penetration of key capabilities
• Serve as an internal authority on the developer persona.
• Craft compelling, technical and differentiated outbound product messaging and content (like blogs, videos, tutorials, web pages, webinars that resonate with developers)
• Enable the field on our solutions, through training and content (e.g. pitch decks and playbooks.)
• Build and implement plans to reach and champion relationships with our developer and technology partner ecosystem.
• Plan and implement product launches (with operational marketing teams), including creating launch materials and content to support and coordinate with team members
• Build a positive partnership with peers in Product Management, Engineering and Community to effectively launch new features and products and engage with users
• Attend and present at Elastic events, third party trade shows and other events to help showcase our products to technical audiences.

What you Bring:

• 7-10 years of experience in product marketing in a technical environment.
• Proven track record of effectively marketing technical products to developers or technical audiences.
• Curiosity about the “how” of technology to tell compelling stories about the “why”
• Ability to work in a very cross functional role, with a highly distributed team
• Experience driving a GTM and crafting high quality assets
• Be a spokesperson for product capabilities and Elastic at large for internal and external audiences - including webinars, trainings, and analyst briefings
• Excellent spoken and written communication skills

Bonus Considerations

• Direct experience with developers, and audiences that build applications
• Product marketing experience with technical AI, SaaS or infrastructure products preferred
• Experience crafting engaging content for developers, including blog posts, decks, videos, etc.
• Comfortable marketing to technical leaders
• Familiarity with Elasticsearch, Elastic Platform or our solutions

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Customer Developer Observability Team

We believe that our customers' success is our success, and that starts with an effortless integration experience for our customers and partners. We move fast, we own our work from end to end, and we're committed to making our technology intuitive and powerful for the developers and their AI agents who build on it. The mission of the Developer Observability team is to deliver a product suite that provides this clarity, empowering customers with not only the necessary troubleshooting insights but also the guidance to implement industry best practices and ensure their integrations are continuously optimized for future innovation. 

We are looking for a Software Engineer to join the team, and contribute to:

• A full-stack team of Frontend and Backend engineers who like to balance robust design with lean development, by validating concepts with minimal effort and then being able to shift to highly reliable systems  
• Building and maintaining a large data tech stack (PostgreSQL, Kafka, Elasticsearch) that underpins products like API Logs and the Developer Dashboard to deliver near-real time insights. Additionally, collaborating closely with the data engineering team to surface performance trends and contextualized guidance
• Working with various teams across the organization to deliver a seamless and consistent integration experience for customers

What you’ll do:

• You will bring a new perspective on best engineering practices, improvements, and opportunities
• You will lead complex technical projects from requirements analysis through architectural design, implementation, testing, and launch into production
• You will also work closely with the product team to understand the scope of changes for our customers
• Championing security, compliance and reliability challenges
• You will mentor and guide other engineers to improve their technical skills and make informed decisions
• We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring live functionalities that impact many merchants and shoppers
• Collaborate across teams and time zones to get projects over the finish line

Who you are:

• Currently working as a Senior Software Engineer or at a similar level, with demonstrated knowledge of building Java web services and designing performant relational database models (preferably PostgreSQL). Experience in Kafka and/or Elasticsearch is a plus.
• You have strong problem-solving skills, are comfortable navigating evolving priorities, and adapting quickly to unforeseen challenges
• You enjoy elevating the software creation process, system design, reliability, testing, and general problem-solving of the team and broader organization
• You have great communication skills and can articulate complex technical vision and strategy to both technical and non-technical stakeholders
• You are skilled at collaborating with various people, including senior leaders, Product Managers, and other Software Engineers
• You are experienced in leading technical projects in a fast-paced environment
• You are a flexible team player with an eye for detail
• You proactively share what you learn with the larger engineering community
• Open to some domestic and international travel
• Added bonus: if you have worked in customer developer experience (e.g. tooling, observability) or payment related teams in the past

Minimum qualifications:

• 7+ years of experience in the software development industry 
• Full professional proficiency in English
• This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

The annual base salary range for this role is $190,000 - $290,000; to learn more about our compensation philosophy, please click here.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

You must be work authorized in the United States without the need for new visa sponsorship. The company can support visa transfers but will not sponsor individuals for H-1B CAP applications.

Responsibilities

As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale.

 In this role, you will also be responsible to:

• Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent.

• Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback.

• Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval.

• Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing.

• Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data.

• Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods.

• Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning.

• Collaborate with product and applied research teams to translate user needs into data-informed search innovations

• Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack.

Requirements

Qualifications / Experience / Technical Skills

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field.

• 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields

• Strong proficiency in Python

• Hands-on experience with search engines (Opensearch or Elasticsearch)

• Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)

• Experience with text processing, NLP, and relevance tuning

• Experience with relevance evaluation metrics (NDCG, MRR, MAP)

• Experience with large-scale distributed systems

• Proficiency in Knowledge Graph construction and optimization is a plus.

• Strong analytical and problem-solving skills

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional team work

• Detail-oriented with strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

For candidates based in California, New York, and Colorado the expected salary range for this role is $215,000–$285,000. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.

(REQ ID: 2472)

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

At Rithum the Database Reliability Engineering (DBRE) team is responsible for the availability, reliability, and observability of all database systems. We rely heavily on automation to reduce manual work and are always looking for ways to improve our processes. We currently Manage and optimize a large-scale SQL Server environment spanning hundreds of instances across hybrid infrastructure (onprem VMware and AWS), as well as installations of various relational and NoSQL database platforms including MongoDB, DynamoDB, Elasticsearch, MySQL, Postgres, and Redis. These database systems touch all aspects of the business. On the DBRE team, we have a strong culture of curiosity, honesty, and a love of collaboration and constant learning.  

As a Senior Database Reliability Engineer, you are expected to embody these values and help foster them among your fellow team members. You are responsible for managing a variety of database systems and designing and leading your own projects with a highly technical approach.

Responsibilities

• Ensure maximum availability and reliability of mission-critical database systems across hybrid infrastructure.
• Design, implement, and maintain SQL Server Always-on Availability Groups, clustering, and replication topologies. Constantly improve the observability of all database systems.
• Lead major database upgrade initiatives and modernization efforts. Support other engineers and teams in their use of database systems.
• Continuously enhance observability using telemetry, performance analysis, and proactive monitoring.
• Continuously enhance processes through automation. Automate operational workflows using PowerShell, Python, and CI/CD tooling.
• Ensure all data is protected and secure
• Participate in our on-call rotation
• Troubleshoot and tune high-load production systems, including complex performance and replication issues.
• Lead technical response during high-severity incidents and conduct root cause analysis.
• Ensure database security, backup integrity, and disaster recovery readiness.
• Contribute to the development of best practices for database engineering and reliability.
• Collaborate cross-functionally to design scalable, resilient data architectures.
• Mentor team members and contribute to engineering best practices.

Qualifications 

Minimum Qualifications  

• 3+ years of hands-on experience managing database systems
• Basic understanding of multi-tenant, database-driven applications
• Familiarity with common data storage technologies and use cases
• Proficiency in a common high-level language such as PowerShell or Python
• Design, implement, and support SQL Server Always On Availability Groups, clustering, and transactional replication
• Lead and execute major upgrade initiatives (e.g., SQL Server version upgrades, compatibilitylevel transitions)
• Own disaster recovery validation and failover strategy execution
• Investigate and resolve complex replication and distribution database failures

Preferred Qualifications 

• 5+ years of hands-on experience administering production database systems at scale
• Bachelor’s degree in a related field
• Experience with database high-availability technologies
• Experience with MongoDB (including replica sets and Atlas), DynamoDB, or other distributed NoSQL platforms
• Familiarity with cloud-native database architectures (AWS preferred)
• Exposure to data platform modernization initiatives (e.g., migration to newer engine versions, consolidation, cloud adoption)
• Knowledge of relational database design concepts in an OLTP environment
• Experience managing database systems in a cloud environment
• Strong problem-solving and analytical skills
• Excellent communication and teamwork abilities
• Commitment to continuous learning and professional development

 Travel Required  

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $90,000-$140,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

What is The Role

Are you looking to make a real impact and play a meaningful role in the growth of our company?

As a Solutions Architect at Elastic you will serve as a technical authority and trusted advisor to our sales team, customers, partners and community. You will understand and tackle our customer’s business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners. A successful SA at Elastic will be passionate about perfection; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo.

What You Will Be Doing

• Serving as the technical point of contact for your accounts and account managers in your assigned territory.
• Developing a deep understanding of customers’ goals and objectives, and articulating how our offerings address their needs.
• Crafting and owning value based relationships at all levels in customer organizations.
• Actively participating in all phases of planning and execution for your territory, from initial discovery to the technical win.
• Developing and maintaining a deep understanding of the Elastic products and solutions to demonstrate the value of our offerings in sales meetings, and at events such as meetups and conferences.
• Advising the sales team on effective ways of positioning Elastic products, solutions and services.
• Onboarding, educating and enabling our partners, and supporting them in sales cycles.
• Crafting collateral, contributing to programs and collaborating with other Elasticians to meet individual client needs.
• Being the voice of the customer and community to communicate needs, gaps, and improvements to our engineering and leadership teams.
• Deepening both your sales and technical skills through self driven education while taking advantage of all the professional development opportunities provided by Elastic.

What You Bring

• A track record of success in a technical presales role-- enough experience selling and implementing technology to earn your customer’s trust.
• A proven track record to articulate and sell the benefits of modern platforms, software and technologies.
• A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships.
• A history of successful customer relations where you developed an understanding of what made a difference, and devised architectures that helped meet a goal, tackle a problem, or outpace competitors.
• An ability to influence. Have you more than once convinced a team you worked for, of an idea, technology, or architectural pattern?
• The ability to inspire groups, both large and small.
• A willingness to travel 30% within region, as well as occasionally internationally.

Why Elastic?

“Once I started, I was blown away to realize, what was always so obvious, everything is search. Anything you do with data involves search, every app needs search, even analytics are about search. Daily I am blown away with the types of things our users and customers are doing with search.” Director of Product, Elastic.

Why this team?

“We question the status quo, debate the best ways to accomplish our goals and hold ourselves and our teams to the highest standards of performance. We take pride in our ability to understand our customers needs and make recommendations that are based on extensive global experience across multiple use cases. We learn from our mistakes and losses and celebrate our successes with an eye towards constant improvement. Join this team if you are up for a compassionate, understanding and fair environment where you can really grow into the next phase of your career.” VP WW Solution Architecture, Elastic

#LI-AM2

What is The Role:

Elastic is searching for an Enterprise Account Executive to expand our Enterprise Pursuit customer accounts. Our Enterprise Account Executives are individual contributors, focused on building new business and growing the Elastic footprint and ensuring our customers are successfully leveraging Elastic cloud solutions across their organization. Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you!

What You Will Be Doing:

• Breaking in, building relationships and awareness, to create the demand and new business revenue for Elastic solutions within new Enterprise accounts.
• Uncovering new and diverse use cases for Search, Security, and Observability to solve key business initiatives in their organizations.
• Working thoughtfully with customers to identify new business opportunities, managing through the sales cycle and closing complex transactions.
• Building a robust pipeline and a long term business plan through community, customer and partner ecosystems to achieve significant Elastic growth within your accounts.
• Delivering against monthly, quarterly annual revenue targets for New Business SaaS subscriptions and Professional Services contracts while maintaining the existing customer base. 
• Collaborating across Elastic business functions to ensure a seamless customer experience

What You Bring:

• A track-record of success hunting to sell SaaS subscriptions and professional services into net-new complex accounts, demonstrated by overachievement of quota and strong customer references
• A deep understanding and preferably experience selling into the ecosystem we live in, including Enterprise Search, Logging, Security, APM and Cloud
• The ability to build relationships and credibility with both IT and LOB executives.
• Predictability and accurate forecasting capabilities using SFDC
• An appreciation for the Open Source go-to-market model and the community of users who rely on our solutions every single day
• Previous experience selling into the Enterprise accounts included in this territory

Bonus Points:

• Previous experience selling in an Open Source model

#LI-AM2

What Is The Role
Elastic, the Search AI company, is looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion within strategic Enterprise accounts. You’ll be the owner of a defined territory where you’ll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model. This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration—and is critical to our growth in the Enterprise segment.

What You Will Be Doing

• Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities.

• Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.

• Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.

• Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %.

• Executive negotiation & closing: Lead high-stakes contract and pricing discussions—defend your value, structure give/get trades, and land multi-year consumption commitments.

• Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.

• Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

What You Bring

• Proven SaaS quota‐carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment.

• Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.

• Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.

• Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in.

• Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.

• Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.

• Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model—bonus if you’ve sold or advocated in an OSS context.

Bonus Points

• Prior experience at an open-source or developer‐centric infrastructure company.

• Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.

If you’re driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we’d love to talk. Apply today!

#LI-AM2

What is The Role

We're looking to add a new node to the Product Marketing cluster, focusing on Elasticsearch & AI. In this role, you will be a trusted technical marketing partner to the product leads, working closely on jointly defining the outbound strategy and go-to-market for the Elastic platform to developers and technical decision makers. To be successful you will have experience marketing to technical audiences and need to become comfortable with the technical aspects of Elastic’s products and solutions, including search, vector database, and AI, the markets they play in, as well as, the creative aspects of positioning technology through messaging and narratives that are compelling, authentic, and differentiated!

What You Will Be Doing

• Act as a technical product marketing lead for Elastic platform, and take ownership of the strategy to drive awareness and market penetration of key capabilities
• Serve as an internal authority on the developer and SRE personas
• Craft compelling, technical and differentiated outbound product messaging and content (like blogs, videos, tutorials, web pages, webinars that resonate with developers)
• Enable the field on our solutions, through training and content (e.g. pitch decks and playbooks.)
• Build and implement plans to reach and champion relationships with our developer and technology partner ecosystem.
• Plan and implement product launches (with operational marketing teams), including creating launch materials and content to support and coordinate with team members
• Build a positive partnership with peers in Product Management, Engineering and Community to effectively launch new features and products and engage with users
• Attend and present at Elastic events, third party trade shows and other events to help showcase our products to technical audiences.

What You Bring 

• 7-10 years of experience in product marketing in a technical environment.
• Proven track record of effectively marketing technical products to developers or technical audiences.
• Curiosity about the “how” of technology to tell compelling stories about the “why”
• Ability to work in a very cross functional role, with a highly distributed team
• Experience driving a GTM and crafting high quality assets
• Be a spokesperson for product capabilities and Elastic at large for internal and external audiences - including webinars, trainings, and analyst briefings
• Excellent spoken and written communication skills

Bonus Points

• Direct experience with developers, and audiences that build applications
• Product marketing experience with technical AI, SaaS or infrastructure products preferred
• Experience crafting engaging content for developers, including blog posts, decks, videos, etc.
• Comfortable marketing to technical leaders
• Familiarity with Elasticsearch, Elastic Platform or our solutions

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

Where you’ll work

This role will be based in our Seattle Office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

What you’ll do

This opportunity is on our Product Data Platform (PDP) team, which builds and operates the high-performance data, query, and search infrastructure that powers critical Brex product experiences. PDP’s mission is to make Brex customizable, scalable, and reliable for finance teams, and that requires deeply optimized, production-grade backend systems.

As a Senior Software Engineer, you’ll work on data-intensive, distributed systems at scale. You’ll lead architectural and performance improvements across the platform, driving better latency, correctness, and scalability across multiple product surfaces. PDP also builds AI-powered data products, including an agentic reporting experience that enables customers to interact with their financial data in dynamic, intelligent ways. Your work ensures these systems are fast, reliable, and built to scale.

Responsibilities:

• Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies.
• Drive schema and access-pattern improvements to resolve systemic performance bottlenecks.
• Debug and remediate P95/P99 latency issues under load in production systems.
• Design and operate distributed systems with thoughtful tradeoffs around consistency, latency, caching, and failure modes.
• Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.
• Implement and improve caching strategies, read/write separation, and replica usage.
• Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).
• Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.

Requirements:

• 7+ years of backend engineering experience building and operating production systems at scale.
• Experience building platforms or infrastructure used by real customers.
• Strong communication skills and ability to collaborate cross-functionally.
• Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred)
• Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.

Bonus:

• Hands-on experience with OpenSearch / Elasticsearch or similar systems in production
• Experience with multi-tenant or data-heavy platforms.

Compensation:

• The expected salary range for this role is $192,000 - $240,000 + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

Where you’ll work

This role will be based in our Vancouver Office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

What you’ll do

This opportunity is on our Product Data Platform (PDP) team, which builds and operates the high-performance data, query, and search infrastructure that powers critical Brex product experiences. PDP’s mission is to make Brex customizable, scalable, and reliable for finance teams, and that requires deeply optimized, production-grade backend systems.

As a Senior Software Engineer, you’ll work on data-intensive, distributed systems at scale. You’ll lead architectural and performance improvements across the platform, driving better latency, correctness, and scalability across multiple product surfaces. PDP also builds AI-powered data products, including an agentic reporting experience that enables customers to interact with their financial data in dynamic, intelligent ways. Your work ensures these systems are fast, reliable, and built to scale.

Responsibilities:

• Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies.
• Drive schema and access-pattern improvements to resolve systemic performance bottlenecks.
• Debug and remediate P95/P99 latency issues under load in production systems.
• Design and operate distributed systems with thoughtful tradeoffs around consistency, latency, caching, and failure modes.
• Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.
• Implement and improve caching strategies, read/write separation, and replica usage.
• Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).
• Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.

Requirements:

• 7+ years of backend engineering experience building and operating production systems at scale.
• Experience building platforms or infrastructure used by real customers.
• Strong communication skills and ability to collaborate cross-functionally.
• Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred)
• Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.

Bonus:

• Hands-on experience with OpenSearch / Elasticsearch or similar systems in production
• Experience with multi-tenant or data-heavy platforms.

Compensation:

• The expected salary range for this role is $192,000 - $240,000 CAD + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

Where you’ll work

This role will be based in our San Francisco Office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

What you’ll do

This opportunity is on our Product Data Platform (PDP) team, which builds and operates the high-performance data, query, and search infrastructure that powers critical Brex product experiences. PDP’s mission is to make Brex customizable, scalable, and reliable for finance teams, and that requires deeply optimized, production-grade backend systems.

As a Senior Software Engineer, you’ll work on data-intensive, distributed systems at scale. You’ll lead architectural and performance improvements across the platform, driving better latency, correctness, and scalability across multiple product surfaces. PDP also builds AI-powered data products, including an agentic reporting experience that enables customers to interact with their financial data in dynamic, intelligent ways. Your work ensures these systems are fast, reliable, and built to scale.

Responsibilities:

• Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies.
• Drive schema and access-pattern improvements to resolve systemic performance bottlenecks.
• Debug and remediate P95/P99 latency issues under load in production systems.
• Design and operate distributed systems with thoughtful tradeoffs around consistency, latency, caching, and failure modes.
• Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.
• Implement and improve caching strategies, read/write separation, and replica usage.
• Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).
• Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.

Requirements:

• 7+ years of backend engineering experience building and operating production systems at scale.
• Experience building platforms or infrastructure used by real customers.
• Strong communication skills and ability to collaborate cross-functionally.
• Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred)
• Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.

Bonus:

• Hands-on experience with OpenSearch / Elasticsearch or similar systems in production
• Experience with multi-tenant or data-heavy platforms.

Compensation:

• The expected salary range for this role is $192,000 - $240,000 + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

The Challenge

We are seeking a Principal Domain Architect who will define and drive the technical vision for AI-native and agentic systems across the platform. This role combines deep system architecture expertise, AI innovation, and strategic technology leadership to build scalable, reliable, and enterprise-grade solutions. The Principal Architect will work closely with Product, AI Platform teams, Architecture Guild, and engineering leadership to guide the design of complex distributed systems, influence the product roadmap, and drive the adoption of modern AI-native architectures across the organization. This leader is expected to identify emerging engineering advancements and translate them into strategic business opportunities, while improving engineering efficiency and technical excellence across products.

Your Mission

• Define and deliver architecture for AI-native agentic systems, enabling scalable and enterprise-grade multi-agent solutions.
• Create and evaluate failure mode scenarios for agentic workflows and incorporate architectural safeguards to ensure resilience and reliability.
• Provide deep expertise in LLM architectures, prompt engineering, RAG approaches, model selection, model training, LoRA knowledge, cost optimization, performance, security, and quality considerations.
• Drive technology transformation within the domain, enabling teams to adopt modern AI-native architectures and engineering practices.
• Stay current with rapid advancements in the agentic AI ecosystem, continuously evaluating emerging frameworks, tools, and architectural patterns.
• Champion technical exploration and spikes to test new ideas, validate feasibility, and guide long-term architectural decisions.
• Collaborate closely with the AI Platform team to influence platform capabilities and ensure alignment with enterprise architecture.
• Define metrics, evaluation frameworks, and observability standards for agentic systems.
• Provide architectural guidance and oversight to engineering squads, reviewing designs and co-creating solutions for complex initiatives.
• Act as a technology leader for the domain, influencing the Architecture Guild and driving best practices across engineering teams.
• Ensure teams adopt architecture governance standards and best practices.
• Champion technical controls and disciplined engineering practices to proactively manage architectural complexity and technical debt.
• Design and build high-performance distributed systems capable of supporting enterprise workloads.
• Recognize industry trends and proactively influence the product and engineering roadmap.
• Mentor engineers and architects, strengthening the organization’s technical leadership and architectural maturity.

Architecture Leadership

• Design large-scale distributed systems and AI-powered architectures that support multiple products and integrations.
• Create and maintain architecture models, system diagrams, and technical design documentation covering current and future state architecture.
• Conceive and evolve product and service architectures ensuring scalability, reliability, and operational efficiency.
• Ensure systems are designed for high availability, performance, and ease of operations.

Strategic Technology Leadership

• Contribute to company-level engineering strategy and evaluate the business impact of emerging technologies.
• Lead engineering initiatives to improve platform capabilities and engineering productivity.
• Participate in strategic programs that impact company-wide technical direction.
• Influence cross-organizational architecture decisions and collaborate with Director and VP level stakeholders.

Engineering Excellence

• Recommend technologies and frameworks that increase engineering productivity and system reliability.
• Oversee technical aspects of major initiatives and ensure high engineering standards.
• Mentor engineers and technical leaders to strengthen system design capabilities and engineering best practices.

You Are

• A highly skilled technical leader with strong architectural vision.
• An analytical thinker with strong problem-solving and system design skills.
• A strong communicator capable of influencing leadership and cross-functional teams.
• Passionate about mentoring engineers and improving technical excellence across the organization.

Your Experience Includes

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 16+ years of software engineering experience with deep expertise in distributed systems.
• Extensive experience with Java-based development using REST APIs, Spring Boot, and microservices architectures.
• Strong experience designing distributed, asynchronous, and event-driven architectures.
• Expertise building low-latency, high-throughput data pipelines and large-scale data platforms.
• Experience with data streaming and event processing technologies such as Kafka, Kinesis, Spark, or Flink.
• Strong knowledge of data structures, algorithms, distributed algorithms, and system programming.
• Experience with fault-tolerant messaging systems such as Kafka, RabbitMQ, AMQ, or ZeroMQ.
• Experience working with distributed data stores including MongoDB, Cassandra, CockroachDB, or CouchDB.
• Experience integrating applications with search platforms such as Elasticsearch or Solr.
• Proven experience mentoring engineers and building strong engineering practices.
• Strong ability to create and maintain architecture documentation and system design artifacts.
• Excellent leadership, verbal, and written communication skills.

Extra Impressive  

• Master’s degree in Computer Science, Engineering, or related field.
• Experience running large-scale web services and distributed platforms.
• Deep understanding of system performance tradeoffs, load balancing, and high-availability architectures.
• Experience with cloud-native and serverless architectures.
• Experience designing graph-based data models and graph architectures.
• Experience building AI-native platforms or LLM-powered systems.

About the Role:

The Discovery Search team (Search FX) sits at the intersection of search, evaluation, and personalization shaping how retailers find the products they love. Our mission is to build the most intuitive, intelligent, and delightful discovery experience in wholesale: one that feels less like a search engine and more like a trusted merchant with an encyclopedic knowledge of what's in stock and what will sell.

As a Staff Engineer on the Search FX team, you will be a primary technical architect for our retailer-facing search surfaces. You will own the technical roadmap for search, recommendations, and Gen-AI experiences that drive a meaningful share of marketplace engagement. You will bridge the gap between high-scale infrastructure and world-class UX, helping unify retrieval, ranking, and personalization into a cohesive, high-performance system.

You’re excited about this role because...

• You will own the technical vision: Define the end-to-end architecture for Faire's search and discovery experience, ensuring it is fast, relevant, and deeply personalized.
• You’ll build at the AI frontier: Integrate LLM-powered capabilities, such as natural language search and intelligent query understanding, directly into the product.
• You’ll solve complex scale problems: Help build high-scale, low-latency systems that navigate millions of products while meeting strict industry latency benchmarks.
• You’ll drive cross-functional impact: Partner closely with Data Science, Product, and Design to iterate on ranking models and UX components.
• You’ll be a mentor and leader: Foster a culture of engineering excellence and ownership, upskilling the team on technical expertise and decision-making.

What You'll Do:

• Architect Next-Gen Search: Lead the design of composable grids, intent-aware routing, and orchestration layers that unify retrieval and ranking.
• Modernize Query Understanding: Leverage LLMs to consolidate the QU stack, improving accuracy for long-tail queries and edge cases.
• Optimize Performance: Drive initiatives to increase retrieval candidates (e.g., 10x growth) while maintaining stable search latency.
• Launch AI-Driven Features: Develop systems like "Search Missions" that use offline pipelines and LLMs to recover failed search sessions through expanded queries.
• Bridge AI and UX: Work with client engineers on SDUI and React Server Components to improve performance and developer velocity for dynamic search layouts.
• System Ownership: Take accountability for the reliability and observability of the search funnel, from query planner refactors to real-time retrieval monitoring.

Qualifications:

• Experience: 7+ years of professional software engineering experience, with 3+ years as a technical leader driving complex, cross-team projects.
• Product Sensibility: A strong user-first mindset and the ability to translate ambiguous business problems into clear technical direction.
• AI/ML Familiarity: Experience partnering with Data Science to deploy and leverage machine learning and gen-AI systems in search experiences across ranking and retrieval.
• Domain Expertise: knowledge of search/query processing, including traditional, semantic, and hybrid frameworks (e.g., Elasticsearch, Lucene).
• Technical Stack: Strong programming skills in Kotlin or Java, with experience in high-performance backend systems, Protocol Buffers, and MySQL.
• Strategic Leadership: Demonstrated ability to contribute to team strategy without supervision and influence the broader organizational roadmap.

Technologies We Use and Teach:

• Backend: Kotlin, Java 16, Hibernate, Guice, Jersey
• Search/Data: Elasticsearch, FAISS, Redis, DynamoDB
• Communication: Protocol Buffers, HTTP, JSON
• Infrastructure: AWS, Kubernetes, Buildkite, Datadog

Salary Range:

Canada: the pay range for this role is $190,500 - $262,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

About the Role:

The Discovery Search team (Search FX) sits at the intersection of search, evaluation, and personalization shaping how retailers find the products they love. Our mission is to build the most intuitive, intelligent, and delightful discovery experience in wholesale: one that feels less like a search engine and more like a trusted merchant with an encyclopedic knowledge of what's in stock and what will sell.

As a Staff Engineer on the Search FX team, you will be a primary technical architect for our retailer-facing search surfaces. You will own the technical roadmap for search, recommendations, and Gen-AI experiences that drive a meaningful share of marketplace engagement. You will bridge the gap between high-scale infrastructure and world-class UX, helping unify retrieval, ranking, and personalization into a cohesive, high-performance system.

You’re excited about this role because...

• You will own the technical vision: Define the end-to-end architecture for Faire's search and discovery experience, ensuring it is fast, relevant, and deeply personalized.
• You’ll build at the AI frontier: Integrate LLM-powered capabilities, such as natural language search and intelligent query understanding, directly into the product.
• You’ll solve complex scale problems: Help build high-scale, low-latency systems that navigate millions of products while meeting strict industry latency benchmarks.
• You’ll drive cross-functional impact: Partner closely with Data Science, Product, and Design to iterate on ranking models and UX components.
• You’ll be a mentor and leader: Foster a culture of engineering excellence and ownership, upskilling the team on technical expertise and decision-making.

What You'll Do:

• Architect Next-Gen Search: Lead the design of composable grids, intent-aware routing, and orchestration layers that unify retrieval and ranking.
• Modernize Query Understanding: Leverage LLMs to consolidate the QU stack, improving accuracy for long-tail queries and edge cases.
• Optimize Performance: Drive initiatives to increase retrieval candidates (e.g., 10x growth) while maintaining stable search latency.
• Launch AI-Driven Features: Develop systems like "Search Missions" that use offline pipelines and LLMs to recover failed search sessions through expanded queries.
• Bridge AI and UX: Work with client engineers on SDUI and React Server Components to improve performance and developer velocity for dynamic search layouts.
• System Ownership: Take accountability for the reliability and observability of the search funnel, from query planner refactors to real-time retrieval monitoring.

Qualifications:

• Experience: 7+ years of professional software engineering experience, with 3+ years as a technical leader driving complex, cross-team projects.
• Product Sensibility: A strong user-first mindset and the ability to translate ambiguous business problems into clear technical direction.
• AI/ML Familiarity: Experience partnering with Data Science to deploy and leverage machine learning and gen-AI systems in search experiences across ranking and retrieval.
• Domain Expertise: knowledge of search/query processing, including traditional, semantic, and hybrid frameworks (e.g., Elasticsearch, Lucene).
• Technical Stack: Strong programming skills in Kotlin or Java, with experience in high-performance backend systems, Protocol Buffers, and MySQL.
• Strategic Leadership: Demonstrated ability to contribute to team strategy without supervision and influence the broader organizational roadmap.

Technologies We Use and Teach:

• Backend: Kotlin, Java 16, Hibernate, Guice, Jersey
• Search/Data: Elasticsearch, FAISS, Redis, DynamoDB
• Communication: Protocol Buffers, HTTP, JSON
• Infrastructure: AWS, Kubernetes, Buildkite, Datadog

Salary Range:

San Francisco: the pay range for this role is $231,000 - $318,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Iterable is leveling up.

Iterable is building the next generation of customer engagement, one where AI doesn’t just assist, it acts. Our platform is evolving into an AI-native system powered by Nova, enabling teams to translate goals into intelligent, real-time customer experiences across every channel. This isn’t about layering AI onto legacy tools; it’s about re-architecting how data, decisioning, and execution come together to create adaptive, agentic journeys at scale.

Ready to move beyond pipelines and build intelligence-ready data systems? 

We are looking for a Senior Product Manager to define how data moves, lives, and performs across Iterable. You’ll own the vision and roadmap for the full lifecycle of user and event data, from ingestion to intelligent storage to governed, high-performance access.

You’ll shape the systems that power both messaging surfaces and Nova AI experiences, ensuring data is fast, reliable, and ready for real-time decisioning. 

Every campaign launched, every journey orchestrated, every model activated, it all depends on the foundations you build.

How you will make an impact:

• Own the end-to-end user data platform charter: define how user and event data moves from APIs and pipelines into storage, through schema and lifecycle management, and out through query surfaces used by sends, journeys, and AI features—staying focused on core user data infrastructure, not analytics UI or external integrations.
• Make ingestion and identity reliable at scale: evolve ingestion APIs and pipelines with clear SLOs, prioritization, and fair-usage limits, and drive a clear identity model so we can safely move users from anonymous to known without duplicates or data loss.
• Modernize storage, schemas, and guardrails: lead ES8 and user-store roadmaps, retention and cost work, and turn schema management into a first-class product (field removal, usage heatmaps, structural guardrails) so customers can keep only the data that matters.
• Enable Nova and product teams with better data: partner with AI/ML and application teams to define what “AI-ready” means, evolve a centralized query layer with guardrails, and own platform metrics (SLOs, incidents, ES cost, schema health, query coverage) that show the impact of your roadmap.

In this role, you'll get to:

• Work at the heart of Iterable’s data plane—where decisions about ingestion, storage, schema, and queries shape everything built on top of it.
• Make concrete tradeoffs between flexibility and guardrails: when to allow arbitrary payloads vs. when to insist on structure, how much history to keep online, and which queries are too risky to run.
• Partner closely with senior engineering leaders on long-horizon decisions about search/index strategy, user stores, SLOs, and cost posture.
• Spend time with customers’ data and engineering teams to understand how they actually model users and events today—and reflect that reality in a cleaner, more powerful user data platform.

We are looking for people who have:

• 5+ years of product management experience in B2B SaaS, focused on backend, platform, or data infrastructure products.
• Hands-on experience with user and event data systems—for example: ingestion pipelines, identity/alias models, event stores, or large search/document databases (e.g., Elasticsearch).
• Strong instincts around APIs and schemas: you’re comfortable reading JSON payloads, thinking through nesting vs. flattening, and managing breaking changes over time.
• Familiarity with distributed systems and data infra (Kafka/Pulsar, Redis, relational or NoSQL stores, or search engines) and the tradeoffs around performance, reliability, and cost.
• Experience collaborating with AI/ML or data science teams on the data side—feature availability, data quality, semantics—enough to know what really blocks good models and agent behavior.
• Strong analytical skills (including SQL) and a habit of using data to drive prioritization and validate impact.
• Clear, direct communication; you can explain a data or infra decision to both senior engineers and non-technical stakeholders without jargon for its own sake.

Bonus points:

• You’ve worked on a core user-data or messaging platform where profiles, events, and identity resolution were central concepts.
• You’ve shipped guardrails or cost controls for shared infrastructure (rate limits, query limits, SLOs, or similar).
• You’ve been part of a major search / storage modernization (e.g., ES migrations, index redesigns, or retention changes).
• Background in computer science, data engineering, or a related field that lets you go deep with engineering when needed.

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $138,500 - $213,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Team

We're scaling from 50 to 120+ engineers over the next year. That kind of growth breaks things: builds slow down, onboarding stalls, deployments get fragile. The Developer Experience team prevents that.

We treat our internal developers as customers, measure their pain points, and ship tools that make the entire engineering organization faster. This is a small, high-leverage team of 2-3 engineers with outsized impact on how Peregrine builds software.

Role

As Tech Lead Manager for Developer Experience, you'll lead the team responsible for engineering tooling, velocity, observability, and monitoring. Your team's work compounds: every improvement multiplies across 100+ engineers.

This is hands-on leadership. You'll set technical direction, build and grow a small team of senior engineers, and partner across engineering to solve the highest-impact developer productivity problems. You'll define how we measure engineering effectiveness and use that data to drive investment decisions.

You will:

• Own the DevEx roadmap. Define strategy for CI/CD, observability, and developer productivity. Prioritize ruthlessly based on data and feedback.
• Lead and grow a high-performing team. Manage 2-3 engineers, provide mentorship, career development, and clear direction. Hire well and raise the bar.
• Establish engineering effectiveness measurement. Instrument workflows and stand up metrics (e.g., build times, deployment frequency, developer satisfaction, onboarding velocity).
• Drive CI/CD and deployment reliability. Keep build, test, and deploy pipelines fast and reliable as we scale.
• Build observability and monitoring foundations. Partner with platform engineering to ensure systems are instrumented and alerts are actionable.
• Stay hands-on technically. Architect solutions, review code, and make infrastructure decisions alongside your team.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

What We Look For

• 6+ years software engineering experience with meaningful time in developer tooling, platform engineering, DevOps, or infrastructure
• 2+ years engineering management experience including hiring, performance management, and team development
• Demonstrated experience building or leading developer experience, developer productivity, or internal platform teams
• Hands-on experience with CI/CD systems (e.g., GitHub Actions, Jenkins, ArgoCD), observability platforms (e.g., Datadog, Prometheus, Grafana), and Infrastructure as Code (e.g., Terraform, Pulumi)
• Experience with containerized systems and Kubernetes in production
• Strong Python skills and cloud infrastructure experience (AWS preferred)
• Track record using data to identify developer pain points and measure tooling impact
• Located in the San Francisco area and open to 4 days a week in office

Bonus

• Scaled engineering tooling through rapid headcount growth (e.g., 50 to 200+ engineers)
• Built engineering effectiveness programs from scratch (e.g., DORA metrics, developer surveys, workflow instrumentation)
• Evaluated and rolled out AI-assisted development tools (e.g., Copilot, Claude Code, Cursor) organizationally
• Built developer portals, self-service platforms, or golden path workflows
• Experience in regulated environments (e.g., FedRAMP, SOC 2, CJIS)

Salary Range: $220,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.

About Loop

Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100.

We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly.

Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy.

About You
As a full-stack engineer, you will work closely with founders and customers to understand and solve their logistics billing and payment pain points. You will help define the product and ship features that directly impact our customers. You will face and solve many complex technical challenges while you receive guidance and feedback from the team. You will shape the Loop DNA and define how we grow as a company.

Responsibilities

• Work cross-functionally with product, design, and sales to understand requirements and ship thoughtful solutions.
• Write high-quality code optimized for extensibility.
• Engage in code reviews to maintain a high bar of engineering excellence.
• Lead discussions and documentation to communicate and arrive at the best technical design.
• Work across different component boundaries, from frontend to backend, and even infrastructure layers.
• Adopt AI technologies such as Cursor/Codex/Claude to accelerate software development and champion adoption of AI tools across the organization for increased productivity.
• Promote better practices and share technical knowledge across the team.
• Help grow Loop through deliberate feedback on product, process, and culture.

Qualifications

• Willing to work in the SF or Chicago office three days a week
• Two years of software engineering experience.
• Experience with TypeScript and tools such as GraphQL, Relay, React, and Node.js.
• Experience working at early-stage companies where you shipped products end-to-end and wore many hats.

Under the Hood

• Infrastructure: AWS, CDK, Fargate ECS
• Backend: TypeScript, Node.js, Prisma, NestJS, PostgreSQL, Kafka, Redis, Elasticsearch, GraphQL
• Frontend: TypeScript, React, Relay, Ant Design, Vite, GraphQL

Compensation

• Base pay 150k+ per year

Benefits & Perks

• Premium Medical, Dental, and Vision Insurance plans
• Insurance premiums covered 100% for you
• Unlimited PTO
• Fireside chats with industry leading keynote speakers
• Generous professional development budget to feed your curiosity
• Physical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships

Why you should join Loop?

#LI-LOOP

About Headway

Headway's mission is to build a new mental health care system that everyone can access. We've built technology that takes the hardest parts of mental healthcare — finding the right provider, navigating insurance, managing payments — and makes them simple. We're now one of the fastest-growing companies in healthcare, with more than 200,000 patients finding care through Headway and thousands of therapists using our platform to grow their practices.

About Patient Core Experience at Headway

The Patient Core Experience team owns how patients find the right therapist on Headway. From search through the first several sessions, our four engineering pods — Onboarding, Profiles + Checkout, Ranking + Relevance, and Activation — build the systems that make great therapeutic matches happen.

We operate a three-sided marketplace (patients, providers, payers) with real complexity and massive impact. We're evolving from a provider directory into an intelligent matching platform that uses communication style, data-backed expertise signals, and patient-reported outcomes to connect people with therapists who are genuinely right for them.

Principles that guide us:

• Matching quality is the foundation of therapeutic outcomes — we obsess over getting patients to the right provider
• We ship fast and learn fast, but we protect patient trust above all else
• We build for the whole marketplace: patients, providers, and payers
• ML powers our systems, but empathy drives our product

The Problems You'll Solve

This role exists because we have hard, specific challenges that need senior engineering leadership to crack. Here's what your first year looks like:

Build an ML-powered matching system from the ground up. Our current matching is largely filter-based. We need to move to ML-powered ranking that incorporates provider communication style, expertise signals, and patient outcome data — without degrading the patient experience during the transition. You'll define the technical strategy for how we get there and own the execution across multiple pods.

Rearchitect team topology as the product evolves. We have four pods today, but the boundaries between ranking, activation, and onboarding will shift as we move toward intelligent matching. You'll need to evolve team structure, ownership boundaries, and technical interfaces as the product changes shape. This includes scaling the org from ~18 to ~25+ engineers while maintaining velocity and quality.

Close the gap between engineering output and patient outcomes. We have patient funnel metrics (intake-to-match, match-to-book, book-to-retained) but engineering doesn't yet co-own them tightly enough with Product and Data. You'll establish the operating model where engineering, product, and data science jointly own these metrics in a true triad — not one where engineering is an execution arm.

Define how your teams build software in the AI era. This isn't about adding a bullet point on AI tooling. You'll set concrete standards for how your ~30 engineers use AI-assisted development — how it changes code review, testing strategy, onboarding, and potentially team composition. You'll also own the AI/ML strategy for the product itself: where we use ML models vs. heuristics, how we handle explainability in a healthcare context, and how we build patient trust in AI-driven recommendations.

Key Responsibilities

• Set engineering strategy for the core patient experience in partnership with Product and Data Science leadership
• Lead 3 Engineering Managers; scale the org from ~18 to ~30+ engineers over the next 18 months
• Co-own patient funnel metrics with your Product and Data counterparts — not just deliver against them
• Drive delivery of ML-powered ranking, reimagined patient onboarding, and patient activation systems
• Build an engineering culture with clear standards for velocity, quality, and technical excellence — starting with honest assessment of where we fall short today

What You Bring

Required experience:

• 10+ years of software engineering experience, 5+ years managing engineering managers
• Led engineering for a consumer or marketplace product where search, matching, ranking, or personalization was core to the business
• Scaled an engineering org through a high-growth phase (25+ to 50+) while maintaining velocity and quality
• Technically strong enough to make sound architecture calls on ranking/ML systems, marketplace infrastructure, and consumer-facing surfaces — you don't write code daily, but you can review a system design and spot the problems
• Experience shipping ML-powered product features (search ranking, recommendations, personalization) at consumer scale
• Track record of moving business metrics (conversion, retention, engagement) through engineering-product partnership, not just delivering features on time
• Comfort working in a regulated industry where you can't just ship fast — you need to reason about bias, explainability, and patient safety in ML systems
• Practiced perspective on AI-augmented engineering workflows — you've led teams through adoption of AI development tools and have opinions on what changes and what doesn't

Nice-to-have:

• Healthcare experience or other regulated industries where data sensitivity and clinical consequences raise the stakes
• Experience with marketplace dynamics (supply/demand balancing, multi-sided incentive design)
• Experience building LLM-based product features (conversational interfaces, intelligent triage, AI-assisted workflows)
• Experience rethinking team structure or hiring profiles in response to AI productivity gains

Our Stack

Our platform runs on Python (Django/FastAPI) and TypeScript/React on the frontend. Elasticsearch powers search and ranking. PostgreSQL and Redis handle data storage and caching. We use dbt and Snowflake for data pipelines, Temporal for workflow orchestration, and custom ML models for matching. Everything runs on AWS.

You won't be writing code daily, but you'll need to engage deeply enough with these systems to make sound technical and organizational decisions.

You'll Love This Role If You Want To

• Solve a genuinely hard problem at the intersection of ML, marketplace dynamics, and healthcare — where getting matching right has real clinical consequences
• Shape an engineering org during a foundational transition, with high autonomy and strong executive support
• Co-own patient outcomes, not just engineering output
• Work at a company where the mission isn't marketing copy — patients are actually getting access to therapy they couldn't get before

Compensation and Benefits:

The expected base pay range for this position is $264,000 to $330,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We are looking for a Data Governance Engineer to join our core engineering teams. Our teams tackle a range of challenges, from enabling real-time user collaboration on detailed maps to building high-scale backend architecture for ingesting billions of data points.

The Data Governance team builds services, systems, and product features to help our customers govern all their data assets through the full lifecycle within Peregrine. We provide fine-grained, secure data access, and auditability controls.

Role

We are looking for a software engineer to join our growing team where you will have vast ownership across our stack. You will take an active role in architecting and building the next version of our core access control and governance systems that govern access to over 7 billion data points within Peregrine’s multi-tenant data platform. Features will span fine-grained permissions, auditability, policy enforcement, metadata management, data labeling & compliance across the platform.

You will work closely with Product Managers to drive projects from idea formulation to design and implementation. You will design and build data governance features, making thoughtful trade-offs to create systems that strike the right balance between security and usability.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Build scalable, secure-by-default frameworks that are foundational to our infrastructure, ensuring first-in-class data security
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components within the data governance domain
• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems

What we look for

• 5+ years of experience working with cross-functional software development teams, distributed data systems and cloud-based platforms
• Knowledge across areas that include: data governance, access controls and platform auditability
• Strong development background in technologies and languages that include Python
• Exceptional interpersonal and communication skills
• Experience shipping and iterating on production-grade software components professionally and / or in the open-source community

Located in San Francisco and open to working in office

Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

The Search & Recommendations team builds the search platforms and infrastructure used across Figma. Our team is responsible for providing Figma AI agents with the most relevant context from across the Figma ecosystem—from design system assets to code—in order to complete tasks with high quality and low latency. And, our team maintains features critical to every designer’s workflow, including visual, asset, and file search. We’re an inter-disciplinary team that works across the stack, from training reranking models to managing our feature store platform to keeping our search infrastructure reliable as we scale.

We’re looking for a seasoned engineering leader to support & grow our team, define & execute on our technical strategy, and collaborate with teams across engineering to build cutting-edge AI features.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

• Support a team of engineers with skillsets ranging from infrastructure to model development, including hiring and career development.
• Partner with our product engineering, infrastructure, data science, and product management teams to deliver cutting-edge Figma AI features.
• Own the team’s technical strategy, roadmap, and goals.
• Roll up your sleeves as needed to get involved with the technical details and improve execution efficiency.
• Grow your career within an engaged and creative engineering community.
• Build an inclusive, diverse team and culture through hiring, community events, and programs in partnership with teams across Figma.

We’d love to hear from you if you have:

• 4+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space.
• 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor.
• Prior experience building search, recommendation, or AI systems as an engineering manager or individual contributor.
• A proven track record of motivating, mentoring, and guiding experienced AI engineering leads.

While it’s not required, it’s an added plus if you also have:

• Expertise in building and maintaining systems built on top of OpenSearch or ElasticSearch.
• Experience working with LLMs at production scale.

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

How you will make an impact:

Engineering at Iterable is responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive to non-technical users is extremely important. Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

One of our core values is Growth Mindset and Iterable is a company where everyone can continuously learn. If this is an idea that excites you, please do apply as we value applicants for the skills they bring beyond a job description

Team Description? 

How you will make a difference:

As a Senior Software Engineer working on the User Data Infrastructure team, you will:

• Design and develop software for a highly scalable and reliable multi-tenant system
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Enhance observability of data at ingestion, query, and storage layers
• Improve automation of our Elasticsearch cluster management system

We are looking for people who have :

• Relevant industry experience building production-ready, scalable applications
• Proficiency  in at least one programming language (ideally Scala and/or Java)
• Experience with Elasticsearch
• Experience with NoSQL and SQL databases  
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala, Java
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Kafka, AWS, Pulsar
• Other Relevant Technologies: Docker / Kubernetes

Bonus Points

• Experience working with large code base
• Experience with functional programming and the JVM

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

As a Software Engineer II at Iterable, you'll independently develop, maintain, and deliver moderate-complexity projects on your team. You'll be working with the Delivery team which builds and maintains the pipeline responsible to getting messages to end users on time. Ultimately, we help enable our customers to provide relevant, timely, and joyful experiences to their own users.

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You are recognized as a subject matter expert in a particular focus area and consistently demonstrate high-quality, on-time delivery. You take ownership of the full lifecycle of your code — from design through production monitoring and maintenance. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You'll get to:

• Execute on core work with minimal guidance in a way that increases team velocity while maintaining high quality
• Break down projects into milestones, provide accurate cost estimates, and proactively keep stakeholders informed
• Architect and develop solutions on a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Write well-structured, maintainable, documented, and tested code with an eye toward future reuse and modularization
• Diagnose and fix tricky bugs, prevent incidents through appropriate testing, and maintain a track record of drama-free deploys
• Provide in-depth code reviews and contribute to design reviews with respectful, effective communication
• Recognize potential scalability issues, bring them to the Architecture Support Group (ASG), and participate in remediation
• Collaborate actively to unblock teammates, give and receive hard feedback with respect and empathy, and solicit input from people of diverse backgrounds
• Participate in recruiting and develop effective interviewing skills

We are looking for people who have:

• 3+ years of relevant software development experience
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience building production-ready, scalable web applications
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems
• Strong interpersonal skills and the ability to collaborate in a highly remote/distributed environment
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning — always improving yourself and the team around you
• Willingness to take on-call responsibilities
• Fluency in English (verbal and written)

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis, CRDB
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points:

• Experience with end-to-end, integration, and performance testing
• Exposure to enterprise systems

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $114,500 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

As a Senior Software Engineer at Iterable, you'll be responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive for non-technical users is extremely important. 

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You will be working with the Analytics Application team that provides accurate and actionable insights to our customers so that they can establish a clear understanding of the effectiveness of their marketing efforts. Ultimately, we help enable our customers to provide the most relevant and joyful experiences to their own users.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You’ll get to:

• Own the backend of the product with a huge amount of autonomy
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Provide direction for your team and guide standards across the Engineering organization
• Improve Engineering processes, tooling, and efficiency
• Mentor and guide team members 

We are looking for people who have:

• Relevant industry experience building production-ready, scalable web applications
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems. 
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points

• Experience with large-scale performance testing 
• Experience with data processing and advanced methodologies
• Experience with functional programming and the JVM
• Experience using AI IDEs or workflows

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We are looking for a Data Governance Engineer to join our core engineering teams. Our teams tackle a range of challenges, from enabling real-time user collaboration on detailed maps to building high-scale backend architecture for ingesting billions of data points.

The Data Governance team builds services, systems, and product features to help our customers govern all their data assets through the full lifecycle within Peregrine. We provide fine-grained, secure data access, and auditability controls.

Role

We are looking for a software engineer to join our growing team where you will have vast ownership across our stack. You will take an active role in architecting and building the next version of our core access control and governance systems that govern access to over 7 billion data points within Peregrine’s multi-tenant data platform. Features will span fine-grained permissions, auditability, policy enforcement, metadata management, data labeling & compliance across the platform.

You will work closely with Product Managers to drive projects from idea formulation to design and implementation. You will design and build data governance features, making thoughtful trade-offs to create systems that strike the right balance between security and usability.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Build scalable, secure-by-default frameworks that are foundational to our infrastructure, ensuring first-in-class data security
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components within the data governance domain
• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Grow engineering talent through hands-on mentorship while fostering strong security values

What we look for

• 10+ years of experience architecting and maintaining distributed data systems and cloud-based platforms
• Deep knowledge across areas that include: data governance, access controls and platform auditability
• Strong development background in technologies and languages that include Python
• Proven success coaching and developing senior engineers
• Demonstrated ability in technical execution and leadership
• Exceptional interpersonal and communication skills
• Ability to work on-site at our San Francisco or New York office

Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We are looking for a Data Governance Engineer to join our core engineering teams. Our teams tackle a range of challenges, from enabling real-time user collaboration on detailed maps to building high-scale backend architecture for ingesting billions of data points.

The Data Governance team builds services, systems, and product features to help our customers govern all their data assets through the full lifecycle within Peregrine. We provide fine-grained, secure data access, and auditability controls.

Role

We are looking for a software engineer to join our growing team where you will have vast ownership across our stack. You will take an active role in architecting and building the next version of our core access control and governance systems that govern access to over 7 billion data points within Peregrine’s multi-tenant data platform. Features will span fine-grained permissions, auditability, policy enforcement, metadata management, data labeling & compliance across the platform.

You will work closely with Product Managers to drive projects from idea formulation to design and implementation. You will design and build data governance features, making thoughtful trade-offs to create systems that strike the right balance between security and usability.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Build scalable, secure-by-default frameworks that are foundational to our infrastructure, ensuring first-in-class data security
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components within the data governance domain
• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Grow engineering talent through hands-on mentorship while fostering strong security values

What we look for

• 10+ years of experience architecting and maintaining distributed data systems and cloud-based platforms
• Deep knowledge across areas that include: data governance, access controls and platform auditability
• Strong development background in technologies and languages that include Python
• Proven success coaching and developing senior engineers
• Demonstrated ability in technical execution and leadership
• Exceptional interpersonal and communication skills
• Ability to work on-site at our San Francisco or New York office

Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

About Hebbia

The AI platform for investors and bankers that generates alpha and drives upside.

Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.

We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.

Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.

The Team 

The Integrations team is the backbone of Hebbia.

We own the systems that bring customer data into the platform — and without us, nothing else works. Every insight Hebbia generates depends on reliable, real-time access to data across dozens of enterprise systems.

This is not surface-level API work. This is building resilient, production-grade data systems across environments that are messy, inconsistent, and constantly changing.

The Role

You will own the full lifecycle of integrations that power Hebbia’s AI — from designing connectors to deploying them in production, monitoring their behavior, and debugging failures in real time.

You’ll work across systems like Snowflake, S3, SharePoint, and internal customer infrastructure — building pipelines that need to handle real-world complexity: unreliable APIs, evolving schemas, massive datasets, and edge cases that don’t show up in documentation.
When these systems work, customers trust Hebbia with their most critical workflows. When they break, it’s immediately visible — and you’ll be the one who understands why.

This role is hands-on, high-ownership, and deeply technical. You won’t just write code — you’ll develop the instincts to operate and debug complex distributed systems in production.

Why This Role is Different 

This role gives you exposure to:

• Real production systems with immediate customer impact
• Complex, unpredictable environments across enterprise infrastructure
• End-to-end ownership — from design to on-call to incident resolution

You will learn how systems actually behave in the real world — not just how they’re supposed to work. Engineers on this team quickly become experts in distributed systems, data pipelines, and debugging at scale. It’s one of the fastest ways to develop the skillset of a senior engineer.

What You''ll Do 

• Build connectors and ingestion pipelines that bring enterprise data into Hebbia's AI platform, from Snowflake warehouses and SharePoint libraries to live pricing feeds, high-velocity news data, and proprietary customer systems
• Design and operate pipelines that handle scale, failures, and edge cases gracefully
• Debug issues across APIs, auth systems, and data formats, often under real-time customer pressure
• Own reliability end-to-end: monitoring, alerting, on-call, and incident response
• Improve internal tooling and observability to make systems more robust and easier to operate
• Partner with product and customer teams to scope, prioritize, and ship the integrations that unlock Hebbia's highest-value use cases
• Design and ship agents that sit on top of the ingestion layer, making enterprise data accessible and actionable across all of Hebbia's product surfaces — from document analysis to structured query workflows

Who You Are

• 2–5 years of software engineering experience, ideally at a startup or high-growth technology company
• Strong proficiency in Python, with experience building backend services and APIs
• Direct experience building or maintaining integrations with third-party APIs—you understand OAuth flows, webhook patterns, rate limiting, pagination, and the ways APIs break in practice
• Comfortable with cloud infrastructure (AWS preferred) and tools like Kafka, PostgreSQL, Redis, or ElasticSearch
• Operational mindset: you take ownership of systems in production, not just in a PR. You are comfortable with on-call and treat reliability as a first-class concern
• Strong debugging instincts—you can trace a data issue from a customer report through logs, API responses, and queue state to root cause
• Clear communicator who can explain technical issues to non-technical stakeholders when a customer’s integration is down
• Autonomous and self-directed. This role has high ownership and low hand-holding

Bonuses:

• Experience with enterprise data platforms (Snowflake, SharePoint, Salesforce) from the integration side
• Familiarity with document processing pipelines or content extraction systems
• Experience building agentic systems or LLM-enabled products
• Frequent user of AI tools in your development workflow (Cursor, Claude Code, etc.)

Compensation

The salary range for this role is $160,000 to $265,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

Life @ Hebbia

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K
• Eats: Catered lunch daily + DoorDash dinner credit if you ever need to stay late
• Parental leave: 3 months non-birthing parent, 4 months for birthing parent
• Fertility benefits: $15k lifetime benefit
• New hire equity grant: Competitive equity package with unmatched upside potential

#LI-Onsite

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

Role

As a leader in our new AI team, you’ll be instrumental in delivering differentiated value to our customers. This team is charged with crafting powerful, intuitive user experiences powered by generative AI. You'll unlock entirely new ways for users to interact with our platform—whether through natural language commands or by enabling AI agents to handle complex tasks on their behalf. Your work will shape safe, impactful AI-driven features that help customers solve real-world problems with greater speed and ease.

Your scope of work will include a wide range of complex challenges, including scaling our platform to handle terabytes of data ingested from a variety of sources, efficiently querying and notifying users on this data in realtime, and optimizing search algorithms to serve results quickly.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components

What we look for

• Understanding of best practices for using generative AI responsibly, with bonus experience applying LLMs to enhance user experience
• Degree in Computer Science or a related field, or equivalent experience
• 3+ years of experience working with cross-functional software development teams
• Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
• Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
• Solid understanding of architecting and scaling distributed software systems
• Strong best practices in modern software development and comfort navigating large codebases
• Located in Washington, D.C. and open to working in office

Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

Role

As a leader in our new AI team, you’ll be instrumental in delivering differentiated value to our customers. This team is charged with crafting powerful, intuitive user experiences powered by generative AI. You'll unlock entirely new ways for users to interact with our platform—whether through natural language commands or by enabling AI agents to handle complex tasks on their behalf. Your work will shape safe, impactful AI-driven features that help customers solve real-world problems with greater speed and ease.

Your scope of work will include a wide range of complex challenges, including scaling our platform to handle terabytes of data ingested from a variety of sources, efficiently querying and notifying users on this data in realtime, and optimizing search algorithms to serve results quickly.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components

What we look for

• Understanding of best practices for using generative AI responsibly, with bonus experience applying LLMs to enhance user experience
• Degree in Computer Science or a related field, or equivalent experience
• 3+ years of experience working with cross-functional software development teams
• Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
• Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
• Solid understanding of architecting and scaling distributed software systems
• Strong best practices in modern software development and comfort navigating large codebases
• Located in NYC and open to working in office

Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

Role

As a leader in our new AI team, you’ll be instrumental in delivering differentiated value to our customers. This team is charged with crafting powerful, intuitive user experiences powered by generative AI. You'll unlock entirely new ways for users to interact with our platform—whether through natural language commands or by enabling AI agents to handle complex tasks on their behalf. Your work will shape safe, impactful AI-driven features that help customers solve real-world problems with greater speed and ease.

Your scope of work will include a wide range of complex challenges, including scaling our platform to handle terabytes of data ingested from a variety of sources, efficiently querying and notifying users on this data in realtime, and optimizing search algorithms to serve results quickly.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components

What we look for

• Understanding of best practices for using generative AI responsibly, with bonus experience applying LLMs to enhance user experience
• Degree in Computer Science or a related field, or equivalent experience
• 3+ years of experience working with cross-functional software development teams
• Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
• Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
• Solid understanding of architecting and scaling distributed software systems
• Strong best practices in modern software development and comfort navigating large codebases
• Located in San Francisco and open to working in office

Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

As a Software Engineer at Checkr, you will work on high impact engineering projects that help build a fairer future for all. You will work in a collection of small services built on Ruby and Javascript, with both SQL and NoSQL databases, as well as message queues for asynchronous tasks. Checkr was founded by engineers for engineers; we want to create the best environment for developers to build, learn and love their work.

What you’ll do:

• Own the product development of features from design, implementation, to release
• Partner with product, design and other stakeholders in designing new features
• Collaborate with other engineers in architecting and implementing new features
• Design, develop, test, deploy, maintain, and improve our products
• Deliver performant, reliable, scalable, and secure code capable of supporting hundreds of thousands of transactions a day
• Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
• Bring a customer-centric, product-oriented mindset to the table - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features
• Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP
• Quality mindset - you insist on quality as a critical pillar of your software deliverables
• Develop new end to end web applications
• Instrument and deploy new product experiments with a data-driven mindset

What you bring:

• 2+ years of full stack software development experience
• Proficiency in Ruby and Javascript/React (or similar languages/frameworks)
• Proficiency with test frameworks and automation (e.g. Cypress)
• Passionate about XP practices, Domain Driven Design, and Continuous Delivery
• Experience developing RESTful APIs. Experience with Elasticsearch nice to have
• Bonus points for experience with in-house component-based design systems
• Strong documentation skills
• A strong sense of ownership from feature design through production release
• A desire to collaborate with external stakeholders
• An eagerness to learn, collaborate, improve, innovate, and have fun
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What you’ll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

The Identity team consists of product-oriented engineers working at the intersection of high-scale data and thoughtfully designed UX. This team is responsible for enabling collaboration and sharing across our platform, managing data permissions, and defining user, and organization management and collaboration. In our unique space, how, when, why, and what data is shared is central to our customers’ success.

We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

Role

We are looking for strong developers to join our small but growing team. As a Senior Software Engineer, you’ll have vast ownership across our stacks, making decisions that will have an outsized impact for years to come.

You’ll take on some of our most complex challenges—like designing scalable permission systems to manage access to terabytes of data across thousands of organizations. You’ll help build intuitive controls that let organizations decide what data to share, when to share it, and with whom. You’ll also architect frameworks for secure collaboration, enabling seamless partnerships while maintaining data sovereignty and compliance. And you’ll create advanced sharing mechanisms that strike the right balance between openness and security to unlock the full potential of cross-organizational collaboration.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components

What we look for

• Degree in Computer Science or a related field, or equivalent experience
• 5+ years of experience working with cross-functional software development teams
• Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
• Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
• Solid understanding of architecting and scaling distributed software systems
• Strong best practices in modern software development and comfort navigating large codebases

Located in San Francisco, New York, or Washington DC and open to working in office

Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

The Identity team consists of product-oriented engineers working at the intersection of high-scale data and thoughtfully designed UX. This team is responsible for enabling collaboration and sharing across our platform, managing data permissions, and defining user, and organization management and collaboration. In our unique space, how, when, why, and what data is shared is central to our customers’ success.

We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

Role

We are looking for strong developers to join our small but growing team. As a Senior Software Engineer, you’ll have vast ownership across our stacks, making decisions that will have an outsized impact for years to come.

You’ll take on some of our most complex challenges—like designing scalable permission systems to manage access to terabytes of data across thousands of organizations. You’ll help build intuitive controls that let organizations decide what data to share, when to share it, and with whom. You’ll also architect frameworks for secure collaboration, enabling seamless partnerships while maintaining data sovereignty and compliance. And you’ll create advanced sharing mechanisms that strike the right balance between openness and security to unlock the full potential of cross-organizational collaboration.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components

What we look for

• Degree in Computer Science or a related field, or equivalent experience
• 5+ years of experience working with cross-functional software development teams
• Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
• Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
• Solid understanding of architecting and scaling distributed software systems
• Strong best practices in modern software development and comfort navigating large codebases

Located in San Francisco, New York, or Washington DC and open to working in office

Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

The Identity team consists of product-oriented engineers working at the intersection of high-scale data and thoughtfully designed UX. This team is responsible for enabling collaboration and sharing across our platform, managing data permissions, and defining user, and organization management and collaboration. In our unique space, how, when, why, and what data is shared is central to our customers’ success.

We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

Role

We are looking for strong developers to join our small but growing team. As a Senior Software Engineer, you’ll have vast ownership across our stacks, making decisions that will have an outsized impact for years to come.

You’ll take on some of our most complex challenges—like designing scalable permission systems to manage access to terabytes of data across thousands of organizations. You’ll help build intuitive controls that let organizations decide what data to share, when to share it, and with whom. You’ll also architect frameworks for secure collaboration, enabling seamless partnerships while maintaining data sovereignty and compliance. And you’ll create advanced sharing mechanisms that strike the right balance between openness and security to unlock the full potential of cross-organizational collaboration.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components

What we look for

• Degree in Computer Science or a related field, or equivalent experience
• 5+ years of experience working with cross-functional software development teams
• Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
• Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
• Solid understanding of architecting and scaling distributed software systems
• Strong best practices in modern software development and comfort navigating large codebases

Located in San Francisco, New York, or Washington DC and open to working in office

Salary Range: $130,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

Role

As a member of our new AI team, you’ll be instrumental in delivering differentiated value to our customers. This team is charged with crafting powerful, intuitive user experiences powered by generative AI. You'll unlock entirely new ways for users to interact with our platform—whether through natural language commands or by enabling AI agents to handle complex tasks on their behalf. Your work will shape safe, impactful AI-driven features that help customers solve real-world problems with greater speed and ease.

Your scope of work will include a wide range of complex challenges, including scaling our platform to handle terabytes of data ingested from a variety of sources, efficiently querying and notifying users on this data in realtime, and optimizing search algorithms to serve results quickly.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

About you

• Desire and drive to own large portions of the application from start to finish
• Passion for crafting and shipping software solutions that delight users
• Thrive on ambiguity and love taking on hard problems
• Excellent technical vision with the ability to synthesize product requests into strong and reliable software components

What we look for

• Understanding of best practices for using generative AI responsibly, with bonus experience applying LLMs to enhance user experience
• Degree in Computer Science or a related field, or equivalent experience
• Over 8 years of experience working with cross-functional software development teams.
• Experience shipping and iterating on production-grade software components professionally and / or in the open-source community
• Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
• Solid understanding of architecting and scaling distributed software systems
• Strong best practices in modern software development and comfort navigating large codebases
• Located in San Francisco and open to working in office

Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

The Principal Engineer is a critical, senior leadership role responsible for driving the technical strategy, architectural coherence, and engineering excellence across several key product areas. This role acts as a bridge between high-level business goals and on-the-ground technical execution, ensuring the product is built correctly, efficiently, and with a long-term vision. The Principal Architect is expected to drive technical excellence by balancing immediate execution needs with the long-term health and scalability of the product's architecture, while understanding the business and customer needs.

Key Responsibilities

Architectural Leadership & Strategy

• Serve as the technical authority for multiple core product areas, ensuring all architectural decisions directly support the business objectives for those areas.
• Establish and maintain organization-wide technical standards, architectural patterns, and coding best practices to ensure consistency, security, performance, and maintainability across all teams.
• Support decision making by providing expert architectural guidance and data-driven recommendations to leadership and engineering teams, facilitating timely and sound technical decisions.

Technical Management & Mentorship

• Directly mentor, guide, and lead the technical direction of the Tech Leads and senior engineers within the domains, fostering a high-performance engineering culture.
• Oversee and approve key design documents and high-level architectural proposals, ensuring they adhere to organizational standards and the own building and maintaining a long-term architectural roadmap.
• Act as an escalation point for complex technical challenges, actively supporting teams in overcoming significant architectural hurdles or design issues.

Communication & Vision

• Pull teams up to give them the big picture and let them see connections: Define and communicate the overall architectural vision and strategy to engineering teams, helping them understand how their individual contributions connect to the broader product and business goals.
• Report on roadmap: Regularly report progress, risks, and technical insights related to the architectural roadmap to executive and product leadership

Qualifications

Experience & Technical Skills

• Professional Experience: 10+ years of software engineering experience, with at least 5+ years as a hands on architect
• System Design: Proven track record of architecting and delivering complex, high-scale, distributed systems (e.g., Microservices, Event-Driven Architecture) in a cloud environment (AWS/GCP/Azure).
• Technical Depth: Deep expertise in our core technology stack: Scala (Java in lieu), Play, Kafka, Flink,  Pulsar, S3
• AI: Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems.
  • Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations.
  • Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows.
• Data Engineering, Pipeline and Storage: Strong experience with data architecture, including SQL and NoSQL databases, caching strategies, and data consistency models. Experience in data engineering and data pipeline technologies. Our stack is Elasticsearch, Postgres, Redis and CockroachDB. 
• Operational Excellence: Demonstrated experience with CI/CD pipelines, observability (logging/monitoring/tracing), and DevOps practices. Has experience working with consumer-scale systems at enterprise software companies.

Leadership & Soft Skills

• Influence without Authority: Ability to drive consensus across multiple teams and stakeholders without relying solely on hierarchical authority.
• Business Acumen: Strong ability to translate complex technical concepts into non-technical terms for executive stakeholders and product managers.
• Mentorship: A passion for teaching and upskilling other engineers; experience managing or mentoring Tech Leads is highly desirable.
• Strategic Thinking: Ability to balance "perfect" architecture with pragmatic delivery timelines (knowing when to accept technical debt and when to pay it down).

Preferred Qualifications (Bonus)

• Experience transforming a monolithic architecture into modular, service oriented architecture.
• Experience working directly with customers from both a functionality and triaging standpoint
• Experience working in building messaging/communication platforms at scale.