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: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

ABOUT PLACER.AI: 

One of the fastest growing tech companies in North America, Placer.ai (“Placer”) reached $100 million ARR “Centaur” status in 2024, within 6 years of launching the Placer platform. We previously crossed the $1B valuation “Unicorn” threshold in 2022.

Our A.I.-based SaaS platform transforms how leaders make critical decisions by unlocking unparalleled visibility into markets and locations, creating a blue ocean market of more than $100B. And the best part is, we accomplished this by leading a privacy-first business in which data has been stripped of user identifiers and only aggregated information is provided within the platform.

Our platform provides instant visibility into almost any location in the U.S. We have grown exponentially over the past 6 years, counting more than 4,000+ paying customers including many Fortune 500 companies, such as, JP Morgan Chase, Wayfair, Google and many more.

Named one of Forbes America’s Best Startup Employers and a Deloitte Technology Fast company, we are proud of our collaborative, innovative and inclusive culture.

Summary

We are looking for a Production Engineer to help us build and scale Placer’s Infrastructure. This person will take an active role in shaping and implementing Placer’s architecture, as well as introduce new technologies, standards and help increase our release pipeline by building the right tools and frameworks for our developers.

This person will take the existing architecture and pave the way in pursuing and materializing our vision. Passion is a MUST and passion for data even more so!

If you are someone who thrives outside their comfort zone, your place is at Placer.ai.

Responsibilities 

• Plan and implement tools to help our company succeed
• Taking care of our CI/CD tools
• Manage our production and multiple development environments
• Collaborate with development teams to improve our system infrastructure and stability
• Develop effective tooling, dashboards, alerts, and response to identify and address reliability risks
• Measure, analyze and improve efficiency, scalability, and stability of various system resources
• Carry tasks end-to-end, from design to deployment, and take full ownership

Requirements 

• 5+ years of experience in a similar position
• Experience working with public cloud
• 3+ years of production experience with Kubernetes including using open source solutions from the eco-system
• 2+ years of experience with "Infrastructure as a code" tools such as Terraform, Pulumi or similar
• 2+ years of experience managing Databases and Queues such as PostgreSQL, MySQL, ElasticSearch, Redis, MongoDB, Kafka, RabbitMQ or similar
• Strong skills with a variety of monitoring and alerting tools
• Sense of humor, all around team player, fast self-learning individual, problem solver

Nice to have:

• CKA certification or similar
• Strong Kubernetes skills, experience with modern CNIs, volume plugins, security, operators, service meshes, ingresses and K8s ecosystem
• Extensive knowledge of RabbitMQ
• Experience working with GCP

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits
• Fully remote

The U.S. annualized pay range for this position is $190,000 - $210,000 USD. In addition, certain roles have the opportunity to earn sales-based commissions. Base pay offered within the stated range may vary depending on multiple individualized factors, including job-related skills, professional experience, education and licenses (if applicable), work location and compensation market data.

Base pay is just a part of our total rewards program. Placer provides medical, dental and vision coverage as well as flexible time off, 401K and equity awards for certain roles.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER

• Placer.ai in a nutshell
• Placer.ai's recent $100M round C funding (unicorn valuation!)
• Placer.ai's data
• Placer.ai in the news
• COVID-19 Economic Recovery Dashboard

#LI-AC1

#LI-AC1

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

Elastic is expanding its Sales Development team to support the explosive adoption of our offerings. Companies like Netflix, Lyft, Facebook, The New York Times, and Tinder (yeah, that Tinder) are looking to Elastic to help solve their big data problems. As a Sales Development Representative (SDR), you will play a critical role in the success of our sales organization by proactively identifying, nurturing, and creating new opportunities. Unlike most Sales Development organizations, we care about the quality of the interactions you have with our users more than the quantity of calls you make in a day. At Elastic, you will work with current users to understand their use case and help them navigate their Elastic journey.

We provide office space for in-person trainings, collaboration, and team building which is used by SDRs on average of 1-2 days per week depending on tenure, team, and preference. The in-person collaboration helps our SDRs to build stronger relationships and develop in a more collaborative and supportive environment.

What is The Role:

As an SDR organization, we spend most of our time finding new business to expand Elastic's presence in all market segments. Your responsibilities will include: 

• Collaborate with sales, marketing and our partner team to develop new strategies to build our sales pipeline and grow our business
• Balance the reactive work of responding to interested users with a creative and proactive approach to identify new opportunities
• Use Salesforce, Outreach, LinkedIn, and other prospecting tools to research accounts, identify key contacts and craft targeted messaging
• Learn our technology and effectively communicate our value proposition with a technical audience. Work to understand their goals and challenges to better understand how we can help

What You Bring:

There isn’t a cookie-cutter mold for who we hire, but there are some common qualities each member of our high-performing team possesses:  

• 0-1 year work experience
• Sales or customer service experience a plus
• Willing to be in the Austin, TX office a few days a week
• Open to feedback, genuinely curious and constantly looking for ways to learn and improve
• Genuine love of technology, with the ability to learn and communicate complex technical concepts - Don’t worry, we’ll give you a lot of resources!
• Not afraid to pick up the phone - this is the path to success!
• Hitting your monthly targets by being results oriented and focussed on achieving, through self discipline, creativity and passion
• Wanting to be a part of something bigger than yourself

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

The Role 

We are looking for a Staff Software Engineer to join our Fusion engineering team, focused on building systems that ingest, process, and analyze network cloud telemetry such as flow and DNS logs. 

This is a high-impact, hands-on technical leadership role. You will design and scale distributed systems that power real-time detection, while influencing architecture, standards, and engineering practices across teams. 

What You’ll Do 

• Design and build scalable backend systems using Go and Python  

• Develop and evolve high-throughput data pipelines for network flow and DNS telemetry  

• Architect systems for real-time and near real-time data processing  

• Improve performance, scalability, and cost efficiency of platform services  

• Lead design and code reviews, setting a high bar for engineering quality  

• Drive cross-team architecture and platform alignment  

• Partner with product and detection teams to deliver shared platform capabilities  

• Mentor engineers and contribute to a culture of technical excellence and ownership  

What We’re Looking For 

• 8+ years of experience building distributed systems at scale  

• Strong proficiency in Go (Golang) and experience with Python  

• Experience with streaming or data-intensive systems (e.g., Kafka, Kinesis, Flink)  

• Solid understanding of network telemetry (e.g., flow logs, DNS)  

• Experience with cloud platforms (AWS preferred)  

• Strong background in systems design, performance, and reliability  

• Proven ability to lead technical initiatives across teams  

Nice to have: 

• Background in cybersecurity or network detection  

• Experience with real-time analytics systems  

• Expertise in data warehousing technologies (e.g., Elasticsearch, Hadoop, Druid)  

Why Join Vectra 

• Work on high-scale, real-time systems solving complex security challenges  

• Help build a platform that processes massive volumes of network data  

• Collaborate with experienced engineers in a high-impact environment  

• Contribute to technology that directly improves customer security outcomes 

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.

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.

We are seeking a Principal Engineer to lead the hands-on architecture and development of our next-generation data and intelligence APIs. This role is deeply technical and execution-focused, responsible for defining API contracts, building production services, and architecting the platform interfaces high-performance throughput, agentic workflows, and external customer integrations.

You will operate at the intersection of distributed systems, data platforms, and agentic orchestration, ensuring our APIs are scalable, governed, observable, and designed for long-term evolution. This role requires strong systems thinking, high-quality implementation standards, and the ability to translate platform strategy into production-grade services.

This is a hands-on engineering role with architectural authority.

What You'll Do:

• Next-Generation API Architecture
• Architect and implement customer-facing data and intelligence APIs with clear versioning, SLAs, and backward compatibility.
• Define and enforce API contracts for:
• Low latency, high throughput endpoints
• Agentic workflows (tools, actions, state transitions, handoffs)
• Context retrieval and enrichment
• Design APIs as durable platform interfaces, not thin wrappers over storage systems.
• Establish standards for schema governance, payload design, and service boundaries.
• Agentic & ML Platform Integration
• Architect service layers that support agentic workflows, including orchestration interfaces, guardrails, and runtime observability.
• Build API surfaces that expose model outputs safely and consistently.
• Collaborate with MLEs and Data Scientists to move models from experimentation into robust inference services.
• Ensure proper lifecycle management, monitoring, and rollback mechanisms for ML-powered endpoints.
• Data Platform & Context Hubs
• Design and implement service layers that sit on top of the gold-layer system of record.
• Build and evolve context hubs derived from authoritative systems of record, enabling consistent entity, identity, or risk context for downstream services.
• Ensure APIs are aligned with medallion architecture principles and platform data contracts.
• Prevent fragmentation by maintaining strong coupling to canonical schemas and governed data models.
• Distributed Systems & Reliability
• Design high-throughput, low-latency services supporting batch and streaming workloads.
• Implement scalable infrastructure patterns on AWS.
• Ensure strong observability, error handling, performance tuning, and cost awareness.
• Drive infrastructure-as-code practices and production readiness standards.
• Technical Leadership
• Serve as a senior architectural voice in design reviews.
• Raise the bar on code quality, system design, and operational rigor.
• Mentor engineers on API design, distributed systems, and ML integration patterns.
• Influence platform direction through technical depth rather than organizational authority

Requirements:

• 10+ years of experience building distributed systems, APIs, or large-scale data platforms.
• Deep experience designing and implementing customer-facing APIs as long-lived products.
• Strong understanding of schema governance, versioning strategies, and contract design.
• Experience productionizing ML models and exposing inference services.
• Experience designing or integrating agentic or autonomous workflows.
• Experience building service layers on top of systems of record or semantic data layers.
• Strong background in distributed systems reliability, observability, and scalability.
• Proficiency in Go & Python (and/or backend service languages).
• Hands-on experience with Databricks/Snowflake
• Strong experience with AWS infrastructure and infrastructure-as-code tools

Nice to Have:

• AWS services including Redshift, S3, EC2, and related cloud-native tooling.
• Data stores including Elasticsearch, PostgreSQL, Redis, and graph databases (e.g., Neo4j or AWS Neptune).
• Experience building high-performance APIs and service layers over heterogeneous data systems.
• Familiarity with Databricks/Snowflake and/or SageMaker is a plus.
• Experience in cybersecurity, identity, fraud, or risk systems is a plus.

We’re looking for a Senior Software Engineer to help us build and operate backend systems that run at serious scale. This role is for someone who cares about performance, reliability, and designing systems that can handle large volumes of data without falling over.

You’ll be working with tens of billions of records, including dark web intelligence, to help protect organizations from stolen credentials, malware, and compromised devices. The systems you build will be core to our platform and used every day by security teams that depend on speed, accuracy, and reliability.

This is a hybrid role based in Austin, TX, with flexibility to work remotely while still spending time collaborating in person with the team.

What You'll Do:

• Building and maintaining high performance APIs and backend services used at scale
• Designing background services and data processing workflows that operate over very large datasets
• Working closely with data engineers and data scientists who are building our platform on AWS and Databricks
• Making practical architecture decisions around performance, cost, and reliability
• Profiling and tuning systems to improve throughput, latency, and overall stability
• Helping shape and evolve API standards and best practices across the platform
• Using modern, AI-forward development tools to move faster and write better software

Requirements:

• Core Experience
• 7+ years of professional software engineering experience with a strong backend focus
• Experience building and running production systems at scale
• Strong experience in Python, Go, or Java. Experience in more than one is a plus
• Solid understanding of API design, distributed systems, and service-oriented architectures
• Experience working with large datasets and high throughput systems
• Data and Infrastructure
• Experience with one or more of the following databases:
• PostgreSQL
• DynamoDB
• Elasticsearch
• Redis
• MongoDB
• Familiarity with AWS and cloud-based architectures
• Experience working with or alongside data platforms such as Databricks or Spark
• Performance and Reliability
• Experience with API gateways, load balancing, and traffic management
• Comfortable with performance profiling, load testing, and capacity planning
• Able to debug and resolve bottlenecks across services, databases, and infrastructure
• How You Work
• Comfortable operating with incomplete or evolving product requirements
• Able to make good tradeoffs when there is no perfect answer
• Communicates clearly with engineers, data teams, and product partners
• Takes ownership and cares about long-term maintainability

Nice to Have:

• Experience working on large scale products or at well known technology companies
• Background in security, identity, fraud, or threat intelligence
• Experience working with unstructured or dark web data
• Strong technical opinions that are open to discussion

You are a passionate engineer who enjoys taking on new challenges. You are looking for an opportunity in a startup where you can grow with the company as an engineer. You are excited about building large scale distributed data systems and enjoy solving complex software problems. You are energized by the opportunity to help grow our product portfolio. You are self-motivated and are able to switch contexts as business needs change. You are adept at introducing new pragmatic designs and providing strong technical leadership. You value good design and readable code over fleeting trends.

Our Stack:

• Programming Languages: Golang and TypeScript
• Frameworks: React, Vite, MaterialUI
• Relational Databases: MySQL, PostgreSQL
• NoSQL Databases: ElasticSearch, DynamoDB
• Infrastructure: AWS, Azure, Docker, Terraform
• Operating Systems: Linux, Windows

What You'll Do:

1. Feature Development:
• Develop, deploy, and test existing and new products.
• Ensure high-quality results and timely delivery of full product roadmap items.
2. Technical Leadership:
• Provide strong leadership on technical direction and pragmatic design decisions.
• Maintain good work ethics and a humble attitude while working in a fast-paced environment.
• Troubleshoot customer-reported issues.
3. Team Collaboration and Improvement:
• Adopt existing team practices and recommend improvements as needed.
• Work collaboratively with team members to achieve common goals.
• Mentor junior engineers, fostering a culture of continuous learning and improvement.

Requirements:

1. Professional Experience:
• At least 7 years of professional experience delivering high-quality production software.
2. Technical Proficiency:
• Strong working knowledge of a programming language in our stack.
• Strong working knowledge of building and interacting with RESTful APIs.
• Strong working knowledge of a relational and a NoSQL based database in our stack.
• Strong working knowledge of front end development with TypeScript and React.
• Strong computer science fundamentals in data structures, algorithms, and object-oriented programming.
• Working knowledge of software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build and deployment processes, and testing.
3. Cloud Experience:
• Strong working knowledge of AWS services such as ECS, lambda, and RDS.
• Strong working knowledge of general cloud architecture concepts of API gateways and patterns for deploying modern and secure applications.
4. Communication and Problem-Solving:
• Excellent communication and writing skills.
5. Version Control and Additional Skills:
• AWS CodeBuild
• GitHub
• GitHub Actions

How you will make an impact:

Our Data In Flight (DIF) team owns the core pipelines that ingest and route user and event data into Iterable, powering identity, segmentation, and real-time personalization. We are building a multi-tenant data platform that application teams can build on top of, with clear contracts, SLOs, and guardrails. Our product and our Elasticsearch clusters are multi-tenant, and we run Elasticsearch on Kubernetes using Elastic Cloud on Kubernetes (ECK).

We’re looking for a Staff Software Engineer with a track record of operating Elasticsearch-backed data platforms in multi-tenant SaaS. You’ll be a hands-on IC who both designs distributed systems and acts as a platform “product owner” for app teams: understanding their needs, shaping the platform roadmap, and defining stable interfaces between product and data infrastructure.

How you will make an impact:

• Own and evolve core Data In Flight services (ingestion, user and event APIs, identity, system events) with a focus on reliability, performance, and cost.
• Lead the Elasticsearch strategy for our multi-tenant live user and event data: index and mapping design, shard strategy, and safeguards across shared clusters.
• Design and enforce platform contracts (APIs, data models, SLAs, and usage limits) that let product teams move quickly while keeping the data platform safe and scalable.
• Work across other data and application teams on initiatives such as Elasticsearch upgrades, guardrails, resharding, and event retention.
• Provide senior technical leadership during incidents and reviews, turning operational learnings into durable platform improvements.
• Mentor engineers on distributed systems, data modeling, and pragmatic use of Elasticsearch.

What you'll bring:

You likely have many of the experiences below, but not necessarily all of them:

• Hands-on Elasticsearch expertise in production:
• Supporting customer-facing features or platforms backed by ES
• Designing schemas and queries for high-cardinality, multi-tenant workloads
• Operating large clusters (capacity planning, scaling, incident response)
• Multi-tenant platform experience:
• Building shared data services used by multiple product teams
• Implementing rate limits, quotas, and noisy-neighbor protections
• Thinking in terms of contracts and SLOs, not one-off integrations
• Strong distributed systems background:
• JVM-based services (Scala/Java) and event-driven or streaming architectures
• Comfort with modern cloud infrastructure (AWS or similar), messaging, and caches
• Staff-level impact and collaboration:
• Leading cross-team projects from design through rollout
• Translating technical decisions into clear business and product trade-offs
• Clear written communication (RFCs, design docs, post-incident reviews)

Nice To Have:

• Experience with Scala and the Play framework or similar JVM stacks.
• Prior work on core user data platforms (identity, profile stores, event pipelines, or CDP-like systems).
• Exposure to FinOps / infra cost optimization in data-heavy systems.
• Experience in MarTech / AdTech or other high-volume, low-latency data domains.

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 $156,00 - $242,000. 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.

About Care.com  

Care.com is a consumer tech company with heart. We’re on a mission to solve a human challenge we all face: finding great care for the ones we love. We’re moms and dads and pet parents. We have parents and grandparents so we understand that everyone, at some point in their lives, could use a helping hand. Our culture and our products reflect that.  

Care.com offers an array of services that enable families to find, manage and pay for care and provide employment opportunities for caregivers. Our engineering organization is reimagining our tech stacks and consolidating to a single cloud native platform so we can test and learn faster. The new platform is composed of gRPC microservices and Lambdas in Go, Kafka streams, DynamoDB, Elasticsearch, GraphQL, and micro-frontends on Node and React. We're utilizing industry best practices and tools like OpenTelemetry, Splunk, Github, SignalFX, Figma, and others to make our lives easier.  

Here, entrepreneurs, self-starters, team players, and big thinkers unite behind a common cause. Here, we’re applying data analytics, AI, and the latest technologies to solve universal problems and connect people in new ways. If you like having autonomy, if you thrive on collaboration and building new things, and if you’re all about using your talent for good, Care.com is the place for you.  

What You'll Be Working On:  

We are seeking a highly motivated individual to join the Technology team as an Architect. The candidate would join a small, agile team responsible for building our fulfillment platform. The candidate will be responsible for the analysis, design, programming, testing, documentation, and implementation of new product features. 

• Design and develop an extremely high-volume, fault-tolerant, scalable distributed system that uses technologies such as:
• Java and J2EE technologies 
• Golang microservices deployed on Kubernetes with an Istio service mesh 
• gRPC and GraphQL APIs 
• AWS Lambdas 
• AWS Step Functions & Express Workflows 
• Amazon EventBridge 
• AWS DynamoDB 
• Postgres 
• AWS Cloud Development Kit  
• Kafka 
• Elasticsearch  
• Work with stakeholders in product management to understand business requirements 
• Work with other disciplines to drive cross-functional efforts 
• Shape development processes to promote a high-quality output while continuing to iterate quickly 
• Own and review deliverables for accuracy, quality, performance, and completeness 
• Work with team to create architecture and design documents, project timeline, and user stories 
• Ability to lead and manage a globally distributed development team 
• Mentor and guide the professional and technical development of members of the team 

What You’ll Need to Succeed: 

• 10+ years of professional engineering experience
• 8+ years of deep experience designing and building high-volume, fault-tolerant, scalable distributed systems, with significant expertise in Java, Golang, or comparable backend technologies.
• BS or MS in Computer Science or a similar engineering discipline
• Experience with Microservices architecture is required.
• AWS experience is required, including knowledge of serverless technologies (Lambdas, DynamoDB, EventBridge) and container orchestration (Kubernetes/Istio).
• Experience leading a team (team/tech lead) and acting as a design authority or system architect for large-scale production projects.
• Ability to thrive as part of a multi-site development team

For a list of our Perks + Benefits, click here! 

Work Environment: Hybrid – We are in the office Monday, Wednesday & Thursday

Our office locations:
Austin – 816 Congress Ave. #800, Austin, TX 78701
Dallas – 2801 North Central Expressway, 11th Floor, Dallas, TX 75204
Salt Lake City – 1850 Ashton Blvd, Suite 500, Lehi, UT 84043

____________________________________________________________________________

Company Overview: 

Available in more than 20 countries, Care.com is the world's leading platform for finding and managing high-quality family care. Care.com is designed to meet the evolving needs of today's families and caregivers, offering everything from household tax and payroll services and customized corporate benefits packages covering the care needs of working families, to innovating new ways for caregivers to be paid and obtain professional benefits. Since 2007, families have relied on Care.com's industry-leading products—from child and elder care to pet care and home care. Care.com is an IAC company (NASDAQ: IAC). 

Salary Range:  $180,000 to $200,000. The base salary range above represents the anticipated low and high end of the national salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of Care.com’s total compensation package for employees. Other rewards may include annual bonuses and short- and long-term incentives. In addition, Care.com provides a variety of benefits to employees, including health insurance coverage, life, and disability insurance, a generous 401K employer matching program, paid holidays, and paid time off (PTO).

#li-hybrid

Avathon is looking for an experienced and innovative Data Engineer to join our team to help create the next generation of artificial intelligence solutions that will help our customers make well-informed decisions and support critical missions. At Avathon, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value in the Industrial IoT and Defense spaces.

Responsibilities:

• Establish and execute best practices for data pipelines, supporting multiple products and aligning with several technology stacks
• Validate and prepare real or synthetic datasets to support analysis and modeling efforts
• Work closely with software engineers and data scientists to deliver cutting edge AI products and solutions to defense and commercial customers
• Operate in self-hosted, secure environments, handling sensitive information

Required Qualifications:

• US Citizenship Required
• Fluency in Python and coding best practices
• Experience with multiple data storage technologies, including relational, document, and graph databases
• Experience supporting or delivering software in a production environment
• Experience contributing to a CI/CD pipeline and following Git practices (we use GitLab)
• Self-driven and comfortable seeking out problems to solve, recommending technologies and solutions and proactively engaging with peers to provide support and drive value
• Experience with agile methodology and workflow

Preferred Qualifications:

• 3+ years' experience supporting AI/ML software solutions
• Hands-on experience with Elasticsearch & Postgres
• Hands-on experience with graph databases
• Knowledge of data pipeline frameworks like Apache Airflow, PySpark, Prefect, etc.
• Comfortable operating in a self-managed cloud environment (we use Azure)

Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.