FEQ227R170

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Position Overview

We are seeking an Associate Automation Engineer to support the design, development, and implementation of automated systems that improve manufacturing efficiency, quality, safety, and scalability. This role works across production, test, and engineering teams to help deploy controls, robotics, and software-driven automation that reduce manual intervention and enable reliable, repeatable operations.

The ideal candidate is an early-career engineer with foundational knowledge of controls, robotics, and software automation who is eager to build hands-on experience in industrial and manufacturing environments.

Key Responsibilities

• Support design and implementation of automated manufacturing systems, controls, and workflows using hardware and software solutions
• Assist with integration of sensors, actuators, PLCs, HMIs, and robotic equipment into production processes
• Develop and modify PLC logic, automation scripts, and control sequences under senior engineer guidance
• Troubleshoot automated equipment, controls, and software to minimize downtime and improve performance
• Participate in commissioning, validation, and testing of automation systems and production equipment
• Create and execute test plans, simulations, and acceptance criteria to ensure system reliability and safety
• Assist with robotic programming, setup, and optimization for manufacturing or test applications
• Develop and maintain technical documentation including wiring diagrams, procedures, and work instructions
• Collect and analyze performance data to identify process improvement opportunities
• Collaborate with Manufacturing, Quality, and Production teams to support continuous improvement initiatives

Qualifications

Education

• Bachelor’s degree in Electrical, Mechanical, Mechatronics, Software, or related Engineering discipline

Experience

• 0–3 years of experience in automation, controls, robotics, manufacturing, or related environment
• Internship, co-op, or project-based automation experience acceptable

Preferred Qualifications

• Hands-on experience with PLC programming (Siemens, Allen-Bradley, or similar)
• Experience configuring or supporting HMIs/SCADA systems
• Familiarity with scripting or programming languages such as Python, Java, or C#
• Exposure to robotic systems (ABB, UR, Fanuc, Yaskawa, or equivalent)
• Experience supporting automated manufacturing or test equipment
• Knowledge of safety standards, equipment validation, and system qualification practices
• Experience with data collection, logging, or industrial networking

Soft Skills

• Strong troubleshooting and root cause analysis skills
• Clear written and verbal communication
• Ability to learn quickly in hands-on technical environments
• Detail-oriented with strong safety awareness
• Collaborative and team-focused mindset
• Strong organizational and time management skills

Technology Stack

• PLCs: Siemens, Allen-Bradley (or similar)
• HMIs/SCADA platforms
• Programming/Scripting: Python, Java, C#
• Robotic systems: ABB, UR, Fanuc, Yaskawa
• Industrial sensors, actuators, and controls hardware
• Microsoft Office Suite

Physical Requirements

• Ability to work in manufacturing and lab environments
• Ability to stand, walk, and support equipment on the production floor for extended periods
• Ability to occasionally lift up to 25 lbs
• Ability to use tools, test equipment, and computers

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

LI#LS

P13976_3382181

Cybersecurity Engineer, Senior Manager

Two Six Technologies is seeking a visionary Cybersecurity Engineer, Senior Manager to architect, build, and defend the highly secure environments that power our advanced R&D initiatives. We are looking for a true security architect who can seamlessly bridge the gap between rigorous government security frameworks (NIST, STIGs, CMMC) and complex operational engineering. In this role, you will lead the strategic design of our secure infrastructure, guide DevSecOps integration across software projects, and engineer pragmatic, intent-based security solutions. If you excel at deconflicting stringent compliance mandates with real-world engineering challenges, and thrive in a role that spans infrastructure defense, network architecture, and application security, we want you to lead our team.

Preferable locations are San Antonio TX and Arlington VA. The role is considered hybrid, and would require at least 3 days a week in the office at either location.

Key Responsibilities

• Strategic Security Architecture: Architect custom security solutions that deconflict stringent government compliance requirements with critical operational needs. Move beyond standard "box checking" to design risk-optimized, tailored controls.
• Intent-Based Engineering: Engineer alternative technical solutions when literal remediation causes operational failure. Leverage deep system knowledge and industry best practices to meet the core security intent of a framework while maintaining system functionality.
• Design & Implementation: Lead the hands-on technical development, configuration, and deployment of secure IT infrastructure and custom security tools, ensuring all architectures are defensible during an audit.
• Threat Defense & Mitigation Strategy: Develop high-level strategies, playbooks, and architectures for threat detection and incident response. Oversee the vulnerability mitigation lifecycle, guiding the team's efforts so that day-to-day monitoring is handled by staff while the Lead focuses on proactive, structural defense improvements.
• Collaborative Security: Partner with development and IT teams to seamlessly integrate security and compliance into CI/CD pipelines and software development lifecycles while supporting innovation.
• Team Leadership & Mentorship: Direct a small team of security professionals across multiple projects. Mentor junior team members on how to balance strict compliance auditing with pragmatic, operational engineering solutions.

Required Skills & Qualifications

• Education: Bachelor’s degree in Computer Science, Cybersecurity, Information Security, or comparable experience.
• Leadership: Experience managing small interactive teams.  Candidates will be required to task junior reports, and should have strong mentorship skills.
• Strategic Risk & Compliance Mastery: Deep understanding of NIST 800-171, NIST 800-53b, CMMC, and DISA STIGs. Proven ability to interpret the underlying risk objective of a control to engineer solutions that satisfy auditors without breaking operations.
• Advanced Systems Expertise: Deep technical mastery of operating systems (primarily RHEL/Linux). Must possess the system-level knowledge (e.g., Linux internals, process management) required to design custom, defensible security configurations backed by vendor documentation when standard STIG guidance is insufficient.
• Operational Deconfliction: A highly analytical mindset with a track record of identifying conflicts between security mandates and operational uptime, and successfully architecting "semi-custom" solutions that keep risk to an acceptable minimum.
• Network Security Architecture: Strong architectural understanding of secure network paradigms (e.g., Zero Trust, macro/micro-segmentation) and fundamentals. Ability to guide the implementation of complex boundary defenses and validate network security controls.
• Application Security & Code Analysis: High technical competency in application security principles. Must be capable of analyzing SAST tool outputs, architecting defensible arguments for false positives to present to customers, and providing strategic guidance to developers on resolving legitimate vulnerabilities.
• Security Automation: Strategic approach to automating repetitive security operations using scripting and CI/CD pipelines. Proven ability to build self-sustaining security workflows that free up engineering staff to focus on high-complexity problems.
• Clearance:  Eligibility to obtain and maintain a security clearance up to TS/SCI. 

Preferred Experience

• Advanced Code Review: Practical experience reading, reviewing, and defending SAST findings in compiled languages such as Java, Golang, or C and/or interpreted languages like Python or NodeJS.
• DevSecOps & Containerization: Hands-on experience architecting secure CI/CD pipelines and software development workflows utilizing platforms like Jenkins, GitHub, or GitLab. Familiarity with securing OCI-compliant container ecosystems (e.g., Docker) is highly desirable.
• Virtualization & Cloud Architecture: Experience securing, architecting, or managing hyperconverged virtual infrastructure (specifically VMware or Proxmox) and/or cloud-native enterprise environments (e.g., AWS).
• Enterprise Boundary Defense: Practical experience engineering, deploying, or migrating advanced enterprise firewall and network security solutions (e.g., Fortinet).
• Specialized Enclaves & R&D Networks: Proven experience designing, auditing, or managing compliance for research and development (R&D) environments, specifically involving the creation or maintenance of CMMC Level 2 compliant networks.
• AI Security Oversight: Experience implementing security guardrails for teams using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini).
• Automated Compliance: Ability to translate security mandates into Policy-as-Code to ensure rapid, AI-generated deployments remain compliant with NIST/CMMC frameworks.
• AI Risk Assessment: Practical understanding of the OWASP Top 10 for LLMs and how to mitigate risks related to prompt injection and AI-generated code vulnerabilities.
• Clearance:  Active TS/SCI clearance

Clearance Requirements:

• This position requires eligibility to obtain and maintain a security clearance up to TS/SCI

#LI-MS1

#Hybrid

We are seeking a Senior Software Engineer - Cloud Platform to join our growing infrastructure organization. This is a high-impact, greenfield opportunity to help build and shape our Cloud Platform team from the ground up. You will be a founding technical contributor responsible for defining standards, scaling platform capabilities, and improving the developer experience for every engineer across the company.

You will take ownership of critical cloud initiatives—including governance, automated remediation, and internal developer tooling—with a direct mandate to influence how we manage our AWS footprint at scale. This role requires a RealOwnership mindset as you define standards and stabilize platform capabilities to support every engineer across the company. You will play a pivotal role in scaling our infrastructure to be secure and cost-effective, assuming full technical ownership of the platform from outgoing contractors by the end of Q2.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. This role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy, allowing you to focus on high-impact architectural challenges.

What you’ll do:

Cloud Governance & RealOwnership

• Implement and maintain robust cloud governance using IaC (Terraform, CloudFormation, or CDK) to create reusable modules and templates.
• Take ownership of Cloud Custodian policies and AWS SCPs to enforce security, tagging, resource lifecycles, and compliance.
• Ensure infrastructure provisioning and operational activities align with established governance guidelines and internal controls.
• Build automated remediation and reporting for governance and cost issues to ensure a secure, compliant environment.

Platform Innovation & "Paved Paths"

• Run and extend Backstage (Internal Developer Portal) by adding/maintaining plugins and service catalogs to improve developer self-service.
• Integrate IaC and policy checks into deployment pipelines to create "paved paths" that allow engineers to move faster without sacrificing security.
• Collaborate across Engineering, Security, and Finance to influence cloud standards and operational efficiency at scale.

FinOps & Cost Optimization

• Drive cost optimization initiatives (rightsizing, reserved instances, spot instances) and automate cost controls and alerts.
• Support cost-conscious architecture decisions with measurable ROI on cloud spend.

What you’ll bring: 

Experience & Expertise

• 5+ years in DevOps, Platform, or Infrastructure Engineering with a track record of building scalable cloud governance systems.
• 3+ years of hands-on experience with AWS (EKS, EC2, RDS, IAM) and production-grade Kubernetes cluster management.
• Proficient programming skills in Python, Go, or Java for building platform automation and internal tooling.
• Deep expertise in Infrastructure as Code (Terraform preferred) and modern CI/CD/GitOps workflows (Argo CD, CircleCI, or Jenkins).
• Preferred: Direct experience with Cloud Custodian, Backstage, and FinOps principles.

Technical Skills

• Cloud & Infrastructure: AWS (EKS, Fargate, Lambda, VPC, IAM), Kubernetes, Docker, Istio Service Mesh.
• Governance & Tooling: Cloud Custodian, AWS SCPs, Backstage, AWS Secrets Manager.
• IaC & Automation: Terraform, CDK, CloudFormation, Helm, Python/Go.
• Observability: NewRelic, Datadog, or Prometheus/Grafana.
• Incident Management: OpsGenie or PagerDuty.

Professional Qualities

• Strong communication skills with ability to explain technical concepts to diverse audiences
• Collaborative approach working across engineering, product, and business teams
• Self-motivated with ability to solve complex problems within established practices and policies
• Data-driven decision making with customer-centric approach and empathy for developer experience

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

JOB SUMMARY:

The Senior Field Service Engineer – RUPS Systems will specialize in rotary UPS power system distribution builds, mechanical and generator integration, system integration, start-ups, and preventative maintenance programs. This role requires advanced technical expertise, mechanical aptitude, leadership skills, and hands-on field experience with both electrical control systems and rotating equipment such as generators and flywheels. Strong troubleshooting skills and a commitment to delivering high-performance power solutions in data centers, hospitals, industrial facilities, and utility-scale environments are essential.

This is not a typical UPS engineer or technician role. In fact, a strong background in traditional static UPS systems may not be advantageous for this position. The ideal candidate will have relevant experience with mechanical systems, generators, and rotary equipment, and be comfortable commissioning complex power systems in the field. You will act as the front-line expert for bringing large-scale RUPS systems online, resolving technical issues, and training others. This role will also provide technical software and hardware troubleshooting support to the IEM customer base on-site throughout North America while performing start-ups, retrofits, or preventative maintenance. The engineer will work closely with cross-functional IEM teams to integrate current and new technologies, commission complex generator and RUPS systems, optimize existing power infrastructure, and ensure seamless operation across our power products as defined by the customer's RUPS design and sequence of operations (SOO). This role will serve as the point of contact for all field service personnel related to RUPS startup, generator support, preventative maintenance, 24-hour emergency response, and remote technical assistance.

KEY RESPONSIBILITIES:

• Lead and perform on-site startup, commissioning, and preventative maintenance of RUPS systems, including generator integration, flywheel validation, and facility electrical infrastructure.
• Perform functional testing, load bank testing, system synchronization, and complete system validation to ensure all components meet performance specifications.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear, control systems, fuel systems, and coupling assemblies.

• Follows a scientific step-by-step process to troubleshoot equipment issues. Captures data and troubleshooting steps concisely and accurately to facilitate effective communication to internal and external parties.
• Works directly with 3^rd party equipment vendors and customers to help resolve re-occurring issues with vendor equipment within IEM’s integrated RUPS systems.
• Perform functional tests, load tests, synchronization, and RUPS system validation.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear and related control systems.
• Interface with clients, contractors and internal IEM teams during commissioning and acceptance testing.
• Ensure all startup and commissioning documentation, test reports, onsite daily reports and required customer records are completed, submitted accurately and on time.
• Provide technical support and guidance during new installations and system upgrades.
• Train Field Service junior technicians on proper startup, commissioning procedures, troubleshooting protocols, preventative maintenance and how to operate the equipment safely. 
• Maintain compliance with all industry and company safety standards, company procedures and client specific safety protocols. 
• Communicate with Product Engineering and Design Teams with regards to important product bulletins that would affect service, software upgrades, product upgrades or maintenance factors.
• Travel to customer sites to lead commissioning activities with junior techs/engineers or complete commissioning independently.
• As required, travel to the manufacturing or field service offices of IEM to participate in or lead training exercises, and to participate in factory witness/shop testing.
• Assists with project start-up and resolving punch list items found at the jobsite.  Work with the customer site superintendents or project managers to update punch lists and ensure jobs are closed out correctly.
• Provide detailed field trip reports that list the issues found onsite to the IEM manufacturing facilities regarding whether quality control standards are upheld to project design criteria and product specifications.   Works with production, service and engineering teams to help resolve any deficiencies that are found.
• Work with the Field Service Leads in scheduling additional field resources and/or teams to cover service needs.
• Proven ability to manage complex power distribution projects, obtains great technical aptitude and has good communication skills. 
• Performs other duties as required by supervisor.

Power System Integration:

• Lead and support field integration of new RUPS and generator technologies with existing infrastructure, ensuring system compatibility and optimal performance.

System Optimization:

•  Analyze system performance and implement improvements to enhance efficiency, reliability and scalability of existing power systems on customer sites.  

TECHNICAL SKILLS:

• Proficiency in Power/automation programming languages and ladder logic (IEC, Python, Java, SQL, HTML)
• Strong hands-on experience with rotating equipment, diesel generator systems, and mechanical diagnostics.
• Experience with electrical troubleshooting, including relay testing, load bank setup, and flywheel system commissioning.
• Experience with load bank testing, grounding systems and protective relay testing.
• Ability to read and interpret electrical drawings, schematics, and one-line diagrams.
• Proficiency with diagnostic and testing tools - (oscilloscopes, megohmmeters, etc.)
• Experience and proficient with industrial power system controls and monitoring technologies.
  • Communication Protocols-(Modbus/TCP, OPC, DNP3, ARP, IoT, DHCP, HTTP and IP)
  • Familiar and Experience with the TCP/IP suite
  • Experience with the utilization of Loop2k and Modscan 
  • Ability to analyze and interpret engineering documents, codes, standards and technical procedures
  • Experience with RUPS power system controls engineering, including ATO programming in PLC’s, Protective Relays and HMI’s 
• Strong technical ability related to verbal and written communication skills, with the ability to convey technical information to both technical and non-technical stakeholders. 
• Excellent analytical and problem-solving skills, with the ability to troubleshoot complex power systems with field service personnel remotely or in person to resolve technical issues on a customer site.

BASIC QUALIFICATIONS:

• BSEE or MSEE
• Minimum 4 years of field experience working with RUPS-UPS power systems, rotary systems, or generator-based power systems.
• Prior experience in commissioning engineering, power systems integration, or generator field service strongly preferred.
• 4 years’ experience as an electrical engineer
• Professional Engineer (PE) License a Plus
• Proficient in Microsoft Office applications
• A strong desire to grow and develop with a passion for providing excellent customer service
• OSHA 10/30 certification
• NFPA 70E certification

SUPERVISION OF PERSONNEL:

• None 

PHYSICAL/MENTAL/ENVIRONMENTAL: 

Physical Demands:

            Activities:        Sitting – 20%               Walking/Standing – 80%

            Lifting:             Must be able to lift a minimum of 25lbs.

            Vision:             Long periods of working in the field on IEM equipment.  

Mental Demands:   Requires the ability to maintain attention to detail and focus on tasks despite potential interruptions and a busy work environment.

Environment: Work duties will be performed in the field on construction sites in hot or cold environments. 

Travel:    100%

Compensation:

The hourly range for this role is $50 -$55 per hour, based on location, experience, and qualifications.

BENEFITS: 

• Competitive salary and performance-based incentives.
• Health, dental, vision insurance and 401K.
• Paid time off and holidays.
• Professional development and training opportunities.

This job description outlines the key responsibilities and qualifications for the Field Service Engineer-RUPS systems. We are looking for someone ready to contribute to the success of our field service operations by bringing excellent technical, organizational and interpersonal skills to the team.

Tenstorrent is looking for a Staff Product Development Engineer - ATE Content Developer, who will be focused on core content development for high-performance AI/ML silicon. They  will be responsible for developing production test programs on ATE test platforms, translating DFT/ATPG content into optimized ATE solutions, and implementing Streaming Scan Network (SSN) architectures for efficient test data delivery. High level challenges include reducing test cost while maintaining coverage targets, optimizing test time for chiplet and multi-die architectures, and enabling rapid yield learning through robust test methodologies. The work is done collaboratively with a group of highly experienced engineers across DFT, design, product, and manufacturing domains.

This role is hybrid, based out of Austin, TX or Santa Clara, CA.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• An experienced semiconductor test engineer with 7 years and a BS/MS in EE/ECE/CE and a track record testing complex digital devices on advanced nodes.
• Hands-on with Advantest V93K and/or Teradyne UltraFlex+ platforms, comfortable owning production test programs end‑to‑end.
• Deeply familiar with DFT/ATPG flows and test architectures: scan chains, MBIST, compression, JTAG/IEEE 1149.1, and common fault models (stuck‑at, transition, path delay, cell‑aware).
• Proficient in C/C++ or Java, with strong scripting skills in Python, Perl, or TCL to automate flows, pattern handling, and data analysis.
• Skilled at debugging across ATE hardware, test programs, and silicon, and at using data to drive root‑cause analysis and yield improvement.

What We Need

• Develop and optimize production test programs on Advantest V93K using the SmarTest 8 environment, from bring‑up through high‑volume manufacturing.
• Translate ATPG patterns (STIL/WGL) into production‑ready test content, balancing test time, coverage, and cost for chiplet and multi‑die AI/ML devices.
• Implement and debug Streaming Scan Network (SSN) based content for high‑speed scan delivery, ensuring robust and scalable scan test infrastructure.
• Own test content for scan, BIST, and memory test structures, collaborating with DFT teams on pattern debug, fault diagnosis, and coverage improvement.
• Support silicon bring‑up and debug in the lab and at manufacturing sites, including correlation, corner characterization, and PVT studies.
• Build and maintain automation scripts and test methods that improve productivity, repeatability, and quality across the test lifecycle.
• Document test architectures, flows, and debug procedures so they can be scaled across products, sites, and engineering teams.

What You Will Learn

• How to test and scale cutting‑edge AI/ML silicon with chiplet and multi‑die architectures, including exposure to 2.5D/3D packaging and HBM integration.
• Deeper expertise in SSN architectures, high‑speed scan delivery, and next‑generation DFT/test methodologies for complex HPC/AI devices.
• How to drive end‑to‑end yield learning: from ATE data and STDF analytics through to design, DFT, and manufacturing process feedback.
• How a fast‑growing AI hardware startup coordinates DFT, design, product, and manufacturing to bring new silicon from first silicon to high‑volume production.
• Opportunities to influence test strategy, infrastructure, and automation roadmaps for future products and platforms as Tenstorrent’s portfolio scales.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

As a Key Accounts Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales, Product/Engineering, Customer Success, Professional Services, and executive leadership to articulate the overall Datadog value proposition, vision and strategy to customers
• Lead technical strategy for both short-term and long-cycle pursuits by driving the end-to-end technical sales agenda for Fortune 100 and comparable prospects — from pipeline generation through purchase decision
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Present at executive and technical forums, lead workshops, and translate technical detail to business impact for CIOs, SRE/Platform teams, security/compliance, and engineering leadership
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with one or more languages (i.e. Python, Go, Java, etc.) and familiarity with DevOps practices such as CI/CD and IaC workflows
• Demonstrated ability to land into net new logo accounts and collaborate with prospects through long, multi-quarter or multi-year cycles.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Location: Houston, TX 

While candidates in the listed location are encouraged for this role, candidates in other Texas locations will be considered.

REQ ID -FEQ327R52

Mission

We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Senior SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. 

Your work with customers will include partnering with hands-on resources.  You will build proof-of-concepts and demonstrate Databricks' products, and you need to be technical and understand the relevance and application of ML & AI across a range of use cases important to the target accounts in various verticals. You will be a technical partner to our customers, working alongside hands-on resources to build proofs of concept and showcase Databricks products. A deep understanding of ML & AI's relevance and application across a variety of crucial use cases for target accounts in different verticals is essential for this role.

Outcomes

• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You implement the technical strategy in the account, with a clear understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You provide structured mentorship for other team members.
• Gain your peers' respect through your experience, insight, and contributions.

Competencies:

• Proficiency at establishing virtual teams and leading them to ultimate success within the account.
• Experience working with very large (> $1m ARR), global accounts.
• Experience building relationships with executives and influencers, both internally and with customers.
• Present a convincing point of view to important decision-makers that leads them down a path of success.
• Technical experience in data engineering, cloud data warehousing, and/or data science
• An ability in data-driven business transformation and driving change with data.
• Production programming expertise in Python, R, Scala, or Java
• Experience practicing live/vibe coding sessions with stakeholders
• Nice to have: Databricks Certification

Who We Are

Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com.

While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.

The Challenge

The Sr. Workday Integration & Extend Developer, will work directly with internal stakeholders to design, develop, deploy, and maintain system integrations that transform Workday data into consumable and actionable insights.

The ideal candidate will be naturally curious and driven to pursue answers and insights through systems integration, data analysis and will have an outstanding ability to communicate requirements, design, and solutions in a clear, precise, and actionable manner. They will work independently, or collaboratively as part of a team retaining an “end-user perspective” seeking to deliver meaningful and purpose driven integration in the most efficient way possible.

What You’ll Take On

• Design, build and support testing of Workday Extend applications based on client application requirements, incorporating functional, security, technical, performance, quality, and operations consideration through deployment.
• Support Extend applications, enhancements and software releases including making updates, testing, and documentation.
• Use existing HR systems to develop and deliver ad hoc, recurring, and self-service integrations.
• Address Workday integration and application needs for entire organization, creating new, updating existing, maintaining integration systems and applications and other enhancement requests.
• Support new system implementations, upgrades and software releases from the integrations' standpoint including making updates, testing and documentation.
• Recommend system enhancements to improve system integration capabilities across the organization.
• Support mass data upload using Workday EIB.
• Partner with business leaders in designing new integrations or enhancing current ones.
• Provide ongoing Workday case support in collaboration with HR Data Engineering and HR Technology team members.
• Participate in planning, validation and testing of service updates and new releases from Workday.
• Ensure data privacy and integrity.

What You Bring

• 5+ years of experience with Workday Studio building sophisticated, multi-endpoint orchestrations, EIB & Core Connectors, for specialized modules (like Benefits or Payroll), Workday Reporting (RaaS) and Calculated Fields.
• 5+ years of experience with Web Technologies & Programming, with REST and SOAP APIs, including authentication protocols like OAuth 2.0 and SAML, expert-level knowledge of XML, XSLT, XPath, and JSON, and MVEL & JavaScript/Java.
• 3+ years of experience with Workday Extend App Components, Page Builder, and PMD, including Workday Orchestrations, Custom Objects & Business Processes. Familiarity with Workday Copilot is a plus.
• Validated ability to synthesize information and translate complex information in an easy to understand, effective format that is both fit for purpose and audience appropriate.
• Strong working knowledge of HR systems, functions, processes and advanced reporting environments.
• Analytical skills - the ability to synthesize change quickly using subject and process knowledge.
• Independent problem solving – ability to articulate issues across projects and the business.
• Desire to learn new tools and think creatively.
• Attention to detail, strong organization skills, ability to multitask.
• Highly proficient with Excel and other Office products.
• Ability to maintain a high degree of confidentiality.
• Excellent oral and written communication skills.

What We Offer You

• Great Company Culture. Ranked as one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.
• Growth. As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.
• Work Hard, Play Hard. Our employees bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, company parties, game release events, monthly socials, and team challenges.
• Benefits. Medical, dental, vision, pension plan, employee stock purchase plan, commuter benefits, in-house wellness program, broad learning & development opportunities, a charitable giving platform with company match and more!
• Perks. Fitness allowance, employee discount programs, free games & events, stocked pantries and the ability to earn up to $500+ per year for taking care of yourself and more.

The pay range for this position in Ontario at the start of employment is expected to be between $114,750 and $155,250 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program.

Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

As an equal opportunity employer, Take-Two Interactive Software, Inc. (“Take-Two”) is committed to fostering and celebrating the diverse thoughts, cultures, and backgrounds of its talent, partners, and communities throughout its organization. Consistent with this commitment, Take-Two does not discriminate or retaliate against any employee or job applicant because of their race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, and genetic information (including family medical history), or on the basis of any other trait protected by applicable law. If you need to report a concern or have questions regarding Take-Two’s equal opportunity commitment, please contact Careers@take2games.com

Please be aware that Take-Two does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Take-Two also does not engage in any financial exchanges during the recruitment or onboarding process, and the Company will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scam or phishing exercise. Take-Two’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a take2games.com email domain). If you need to report an issue or otherwise have questions, please contact Careers@take2games.com

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Optiver is seeking Quantitative Researchers to join our High-Frequency Trading (HFT) Team, where we run fully automated trading strategies powered by Machine Learning. As part of this high-impact, collaborative team, you’ll play a key role in developing, improving, and executing trading strategies, directly shaping our research and execution pipeline.

What you'll do:

• Conduct alpha, signal, and feature research, developing models to enhance predictions and improve trading algorithms
• Collaborate with peers to review research, solve complex problems, and refine trading strategies
• Optimize research workflows to increase efficiency and effectiveness
• Contribute to strategic discussions, helping shape the future direction of the business

What you'll get:

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are:

• 2+ years of quantitative research experience on a successful futures/equities trading team
• Proven track record of developing profitable trading strategies, with strong analytical and mathematical skills
• Experience in computationally intensive research
• BS, MS, and/or PhD in a quantitative or technical field
• Proficiency in programming languages (C++, C, Python, Java)
• A highly collaborative team player, valuing diverse perspectives and building strong partnerships
• A self-starter who takes initiative, sets ambitious goals, and proactively identifies opportunities for impact

Who we are:
At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Sr. Android Engineer, Design Systems

Are you passionate about Design Systems, solving complex UI problems, and creating scalable architectures? You'll be right at home here. The technology team participates in the research and development of highly scalable, data-driven, consumer-facing applications and identifies new technologies and trends to continually enhance our products and business. Work and learn from world-class talent that promotes a culture of experimentation and learning.

The Design System team is looking for a Senior Software Engineer who specializes in Android development and Design Systems. You will build and own Haven — Realtor.com®'s native Android design system — a greenfield project that will serve as the foundation for all of our consumer-facing Android applications, which see millions of unique visitors daily. You will collaborate closely with the designers on the Design System team to implement the Haven Figma library in code, translating design intent into production-ready Jetpack Compose components. As a part of this team, you will play a key role in enabling our engineering community across all of our consumer product lines to build scalable, consistent, and accessible applications.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You'll Do:

• Build and maintain Android components in Haven that are modular, accessible (WCAG 2.2), performant, and consistent with their iOS counterparts
• Contribute to the design token architecture and semantic layer that drives theming, density, and platform-specific adaptations across Haven
• Own the design-to-code pipeline: from Figma specs to production-ready Jetpack Compose components with clean APIs, thorough documentation, and clear migration paths
• Support product engineering teams in adopting Haven: office hours, code reviews, implementation guidance, and accessibility troubleshooting
• Establish testing standards for Haven components, including unit, component, visual regression, and accessibility tests
• Contribute to Haven's release process, versioning strategy, and changelog communication
• Partner with the iOS engineer on the team to maintain cross-platform consistency without compromising platform-native patterns
• Drive Android 16 and 17 compliance across Haven, including Edge-to-Edge, Predictive Back gestures, Adaptive Layouts for foldable phones and large screens, and floating element patterns aligning with iOS patterns
• Optimize developer experience by developing intuitive component APIs, authoring thorough documentation, and providing migration guides for our engineering community
• Provide engineering and design teams with technical guidance and support for component usage, code reviews, feature requests, bug fixes, UI and accessibility best practices through office hours and ad hoc requests
• Build relationships with designers and engineers across different product lines and bridge gaps between product design and engineering
• Research and identify opportunities for improvements to our existing processes and solutions, and create proof of concepts
• Collaborate with the team lead and leadership to contribute to short/long-term goals and roadmaps
• Engage in Agile ceremonies like standups, office hours, weekly planning, and retrospectives and work in a development process that is primarily Kanban

What You'll Bring:

• 5+ years of development experience with up-to-date knowledge of Kotlin, Java, and the Android SDK
• Direct experience contributing to or building a design system used by multiple product teams
• Passionate about Design Systems and solving complex UI problems, and have a great sense for identifying design/interface patterns
• Attention to detail, great sense of design, and commitment to beautiful user experiences
• Strong experience with Jetpack Compose, including building reusable composables, theming, and Material Design integration
• Deep understanding of design token architecture, including semantic layers and theming
• Experience with Atomic Design methodology and breaking complex UI patterns into composable, reusable pieces
• Familiarity with Figma as a source of truth and experience maintaining design-to-code parity
• Experience implementing scalable UI interactions, animations, and transitions on Android
• Strong grasp of Android accessibility, including TalkBack, content descriptions, touch target sizing, and WCAG 2.2 criteria
• Experience with component system tooling such as Figma, Storybook, Zeroheight, or similar
• Experience with component library architecture and best practices around responsive layouts and animation
• Ability to troubleshoot and debug mobile application problems such as UI rendering performance, layout issues, APK/App Bundle size optimization, memory leaks, battery consumption monitoring and optimization, accessibility problems, device fragmentation bugs, etc.
• Experience working within an engineering platform or enablement team
• Experience working with a Design Systems team
• Ability to communicate technical concepts and trade-offs to both engineering and business audiences
• Strong communication skills with a growth and learning mindset
• Bachelor's degree in Computer Science/Engineering/related field or equivalent professional experience

Missing checkmarks on a few items in the "What You'll Bring" section? Don't fret! We're looking for people who have a passion for Android development and Design Systems, so we'd still love to hear from you if you think you'd be a great fit!

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Sr. Application Developer

Job Description 

• Discussions with Client to get the User / Business Requirements 
• Translate User / Business Requirements to Technical Requirements 
• Design and develop responsive web applications using React.js as the primary frontend framework.
• Maintain and migrate minimal legacy components built in Angular.
• Collaborate with UX/UI designers to implement pixel-perfect user interfaces using React, JavaScript, HTML, CSS.
• Write and optimize PL/SQL stored procedures, functions, packages, and triggers in Oracle.
• Support backend development with Java, Spring Boot, Microservices and REST APIs when necessary.
• Perform system integration with backend services and ensure efficient data exchange between layers.
• Participate in code reviews, technical discussions, and Agile ceremonies.

Required Skills:

• Strong experience with React.js (including Hooks, Redux, or Context API).
• Strong experience with Oracle PL/SQL: writing complex queries, procedures, and optimizing performance.
• Solid working knowledge of Java and Spring Boot.
• Familiarity with integrating React applications with RESTful APIs and microservices.
• Basic understanding of Angular (for light maintenance or migration).
• Proficiency with Git, code versioning, and Agile tools (e.g., Jira, Confluence).
• Strong analytical and debugging skills.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data and analytic pipelines
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical field work and interfacing with customers and other stakeholders

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor's degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience 
• Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments
• Expertise in implementing and analyzing algorithms and data structures
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Graduate degree in computer science, machine learning, mathematics, or a related discipline
• Experience processing a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing solutions in a compiled programming language (Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s)
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $170,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data and analytic pipelines
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical field work and interfacing with customers and other stakeholders

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor's degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience 
• Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments
• Expertise in implementing and analyzing algorithms and data structures
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
• Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Active Secret (or above) US security clearance
• Graduate degree in computer science, machine learning, mathematics, or a related discipline
• Experience processing a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing solutions in a compiled programming language (Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s)
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $170,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

At Realtor.com, we are building products that empower millions of home buyers, renters, and real estate professionals. Our mission is to simplify the home buying/selling process and help more people achieve the dream of home ownership. We are looking for a collaborative and customer-focused Staff Backend Software Engineer to join our RDC Next team. This team creates innovative solutions across the real-estate ecosystem, fostering deeper connections between industry players and consumers.

What You'll Do:

As a Staff Engineer, you will provide technical leadership for our backend ecosystem, architecting the core pillars of our platform.

• Product Partnership: Work directly with Product Managers to deeply understand product requirements, translate them into technical specifications, and ensure the implementation aligns with both user needs and technical feasibility.
• Architect Core Systems: Lead the design, implementation, and testing of high-scale content ingestion pipelines and user-facing APIs that power the consumer and agent experience.
• Advance AI Innovation: Shape our AI platform strategy, integrating machine learning models and agentic AI into production workflows to transform the industry.
• Expand the Ecosystem: Design reliable architectures for 3rd party integrations, ensuring seamless data exchange with external real-estate services and partners.
• Ensure High-Reliability Communication: Build and scale a notification system capable of delivering real-time, meaningful updates to millions of users.
• Operational Excellence: Set the standards for infrastructure, observability, and monitoring, ensuring our distributed systems are resilient, transparent, and scalable.
• Collaborative Leadership: Guide technical decisions for complex features, lead rapid prototyping, and evolve the architecture using Clean Architecture principles.
• Mentor & Support: Act as a mentor to junior engineers, encouraging a culture of continuous learning and high-quality software development.

What You'll Bring:

• 8+ years experience in software architecture and backend systems development.
• Backend Expertise: Proficiency in modern distributed languages such as Python, TypeScript, Rust, Go, or Java.
• Cloud & Infrastructure: Experience with AWS (or similar) and a commitment to operational health.
• Data Modeling: Expertise in relational databases (e.g., Postgres) and NoSQL stores (e.g., DynamoDB, MongoDB).
• System Design: A track record of building scalable APIs, event-driven architectures, and integrations.
• Observability Mindset: A focus on maintaining system health through monitoring, logging, and tracing.
• AI Interest: Curiosity or experience in building AI platforms and agentic workflows.
• Communication: Ability to break down complex problems and share solutions clearly with both technical and non-technical partners.
• Data-Driven: A data-informed approach balanced with strong empathy for the people using our products.
• Education: Bachelor’s degree in Computer Science, a related field or equivalent professional experience.

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience
• Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree in data science, machine learning, computer science, or a related discipline
• Excellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes, infrastructure as code, major cloud architectures)
• Experience with machine learning applied to imagery and/or video data
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience delivering technology solutions in secure government environments

The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Our backend team is building a highly-available and distributed data pipeline that powers Telnyx products like Voice, Messaging and Wireless. We leverage the Telnyx private backbone network to build a cloud-agnostic data platform that processes thousands of messages per second.

With our lean team, we're currently running and managing more than 30 dockerized microservices deployed in multiple regions in the U.S. and Europe. We are looking for a senior Java backend engineer with deep knowledge of Java Core.

In this role you will

• Work on 30+ microservices implemented in Java 11 and Scala that process, aggregate and expose all data our telecommunication and messaging engines generate
• Improve performance of our pipeline — we currently process 10k messages/sec and are growing
• Architect our services and pipelines so they work with minimum latency in all our locations around the world (U.S., E.U., Australia, South America)
• Implement fraud detection processes with machine learning (Kafka and Kafka Streams)
• Deploy services to multi-cloud Kubernetes environments to achieve 99.999% uptime
• Push code to production multiple times a day

What we're looking for

• Degree in Computer Science, Information Technology, or equivalent work experience
• 4+ years of experience with Java and its ecosystem of tooling
• Experience with at least one of these databases: Cassandra, ClickHouse, or OpenSearch
• Experience with AI tooling, or a strong willingness to learn

Nice to have

• Experience with Scala or another functional programming language
• Experience with Linux, Git, and Docker in a CI environment
• Experience with distributed systems and systems that maintain "five nines" (99.999%) of uptime

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Who We Are

The Notifications team sits within the Consumer and owns the centralized notification platform that powers relevant, timely, and valuable communications to our consumers across push and email channels. 

Our stack includes Kafka, AWS EKS and Lambda, SQS, MongoDB, Redis, AWS Secrets Manager, and Serverless, with a strong focus on observability, cost efficiency, and operational excellence.

About The Role

We are looking for a Sr. Backend Software Engineer to join the Notifications team and help design, build, and operate the next generation of our notification platform.

In this role, you will:

• Own core backend services that power notification preferences, home alerts, and notification delivery for initiatives like Project Columbus (Updated Notification Preferences and Alerts by Geo).
• Work across event-driven architectures, real-time delivery pipelines, and storage systems that serve notification history and campaign traffic at scale.
• Partner closely with CRM Marketing, Search, Mobile teams to deliver reliable, observable, and cost‑efficient notification experiences.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You’ll Do

Design, Build, and Operate Backend Services

• Design and implement scalable backend services and APIs for notification preferences, notification delivery, and notification storage, using modern backend languages and frameworks (e.g., Node.js/TypeScript, Java/Kotlin, or Python) on AWS.
• Extend and evolve our event-driven architecture for notifications, leveraging Kafka, SQS, and AWS services to reduce latency and improve reliability for push and email sends.
• Build and maintain data models and storage layers (e.g., MongoDB Atlas, Redis) to support high-volume reads/writes, notification history, and preference lookups at scale.
• Implement and harden CI/CD pipelines on our paved path (CircleCI, GitHub, Argo) to enable safe, frequent deployments with strong automated test coverage.

Reliability, Observability, and Operational Excellence

• Own the health of the services you build, including metrics, logging, tracing, dashboards, and alerts using tools like New Relic and Splunk, and participate in an on‑call rotation for Notifications services (Pigeon, Notification Center, Preferences APIs, and pipelines).
• Improve system reliability and performance by driving projects to simplify architectures (e.g., replatforming Pigeon to an event‑driven model, improving DLQ handling, and replacing legacy step functions and throttlers with SQS consumers).
• Contribute to cost and resiliency initiatives, including logging/CloudWatch optimization, secrets migration to AWS Secrets Manager/Skyway Vault, and scaling strategies for notification databases and infrastructure.
• Author and maintain runbooks and operational playbooks for on‑call responders, covering incident response, rollbacks, backfills, and replay strategies for notification workloads.

Cross‑Team Collaboration and Delivery

• Partner with CRM Marketing and Product to translate business requirements for campaigns, alerts, and notification preferences into robust technical designs and incremental delivery plans.
• Collaborate with Search, CPS, Identity, Orchestration, and Data teams to ensure notification flows (e.g., Alerts by Geo, saved search alerts, preference syncs) are correct, observable, and performant end‑to‑end.
• Participate in and lead technical design discussions, documenting trade‑offs and making recommendations that balance delivery speed, reliability, and total cost of ownership.
• Contribute to team rituals (planning, grooming, retros, incident reviews), helping to de‑risk projects via spikes/POCs, clear recommendations, and proactive communication on risks and timelines.

What You’ll Bring

Core Qualifications

• 5+ years of professional software engineering experience, with a strong focus on backend systems and distributed services in production environments.
• Experience with TypeScript/JavaScript/Node.js. 
• Proficiency in at least one modern backend language such as Node.js/TypeScript, Java/Kotlin, or Python, and a track record of building secure, testable, maintainable services and APIs.
• Experience with event-driven architectures and streaming technologies (e.g., Kafka/MSK, SQS), including designing resilient producers/consumers and handling retries, DLQs, and backfills.
• Hands-on experience with AWS (e.g., Lambda, ECS/EKS, S3, API Gateway, IAM, SQS) and Infrastructure‑as‑Code frameworks (e.g., CloudFormation, Terraform, or similar).
• Experience with NoSQL and cache technologies such as MongoDB Atlas and Redis (or comparable systems), including schema design and performance tuning for high‑volume workloads.
• Strong CI/CD and testing mindset, including building and extending pipelines (e.g., CircleCI + GitHub + Argo), and applying unit, integration, and contract testing to services and data flows.
• Solid observability skills, using tools such as New Relic and Splunk (or equivalents) to define SLIs/SLOs, build dashboards, and reduce mean time to detection and recovery.
• Excellent communication and collaboration skills, with the ability to work closely with product, marketing, analytics, and other engineering teams, and to communicate clearly about risks, trade‑offs, and timelines.
• Ability to operate in an on‑call rotation in US time zones, owning production incidents end‑to‑end and driving follow‑up improvements.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

Nice To Have

• Experience with notifications, messaging, or campaign delivery systems (push, email, in‑app notifications), including rate limiting, preference management, and history storage.
• Experience with CRM and marketing platforms such as Braze, Cordial, Hightouch, or similar activation tools, and integrations between internal data platforms and external providers.
• Background in real‑time personalization or alerts (e.g., saved searches, alerts by geo, behavioral triggers) where correctness, latency, and relevance are critical.
• Familiarity with security and compliance practices, including secrets management (AWS Secrets Manager, Skyway Vault), AppID tagging, and cloud cost/usage governance.
• Experience contributing to tech modernization and platform re‑architecture efforts (e.g., migrating serverless workflows to EKS‑based services, improving throughput and state recovery for high‑volume pipelines).

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience 
• Proficiency in machine learning and data science, and applying both to image and video data
• Proficiency in implementing and analyzing data structures and algorithms
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to software development life cycle and tools (e.g., Git, Agile) 
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree (e.g., MSA, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline
• Experience deploying machine learning and data science, and applying both to production environments
• Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers)
• Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (i.e., back end, front end, REST)
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

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While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.

• Coach junior Solutions Architects and teams on use case prioritization and building technical champions.

• You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.

• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.

• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

• Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
  
  

What we look for:

• Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.

• Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.

• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.

• Hands-on expertise with complex proofs-of-concept and public cloud platform(s).

• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Staff Machine Learning Engineer at Striveworks, you will be challenged—and trusted—on day one to be both a core contributor and a customer-facing technical leader on the projects and direction of the company. In this mission-critical work, you will design AI-powered solutions, you will bring them into being—from data shaping and ingestion, through analytics, to end-user delivery—and you will inform future platform capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You are passionate about applying both software engineering and data science to solve real-world problems. You are comfortable simultaneously leading a team, executing directly on critical elements of the plan, and presenting vision and outcomes to your customer.

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve the customers’ problems and leverage the capabilities of our AI operations platform.
• Translating requirements into a technical approach, design, scoping estimate, and execution plan.
• Leading execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process.
• Designing, orchestrating, and automating complex data pipelines and algorithms within modern architectures (cloud, event-driven, microservices, etc.).
• Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data.  
• Raising insights, opportunities, challenges, and feedback in order to improve group-level practice, capture reusable functionality, expand company opportunities, and accelerate time to value.
• Conducting mission-critical fieldwork and interfacing with customers and other stakeholders at their work sites.

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 20% of the time. 

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience 
• Broad proficiency in programming languages common to machine learning (excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and scikit-learn) and systems programming (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments
• Demonstrated experience defining, scoping, planning, and delivering complex technical solutions in production environments
• Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Demonstrated ability to lead, manage, and mentor small cross-functional teams that work across office, remote, and customer sites
• Ability to communicate complex topics with professionalism, competence, and clarity to internal and external stakeholders (both technical and non-technical) via documents, presentations, and conversations
• Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Experience with Kubernetes (k8s) and horizontally scaled architectures
• Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar
• Experience building AI agents and workflows
• Experience with complex and varied data types, such as multi-spectral imagery, full motion video, acoustic or sonar signals, synthetic aperture radar, or hardware telemetry
• Experience delivering technology solutions in secure government environments
• Active Secret (or above) US security clearance

The anticipated base pay range for this position is $200,000–$250,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. 

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AIOps platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
• Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Opportunities to conduct mission-critical field work

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.  

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
• Demonstrated experience delivering data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree in data science, machine learning, computer science, or a related discipline
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [k8s], infrastructure as code, major cloud architectures)
• Experience with a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, telemetry signals)
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Active Secret (or above) US security clearance 

The anticipated base pay range for this position is $160,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AIOps platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
• Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Opportunities to conduct mission-critical field work

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.  

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
• Demonstrated experience delivering data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree in data science, machine learning, computer science, or a related discipline
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [k8s], infrastructure as code, major cloud architectures)
• Experience with a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, telemetry signals)
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience leading a small team
• Experience delivering technology solutions in secure government environments 

The anticipated base pay range for this position is $160,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Software Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the products and direction of the company.

Our flagship product, Chariot, is used by customers to develop, deploy, and maintain production ML models. We’re looking for exemplary engineers with a product mindset, who can write quality code in Go and Python and who ultimately want to be core contributors to the direction of the company. You’re right for this challenge if you value and possess technical expertise and you push the boundaries of your own capabilities. You are outcome driven, not requirements driven. We’re looking for people who are excited about our central development themes:

• Everything as Code 
• Cloud-neutral development 
• User-centric design
• Hexagonal, event-driven, microservice architecture 
• Optimizing, deploying, and refining AI models and algorithms 

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what else we’re looking for:

• 6–8 years of hands on development experience
• Excellence in Go, C++ (17 or higher), Java (11 or higher), C# (9 or higher), or Rust
• Proficiency in Python
• Experience with DevOps tooling: CI/CD tools, Git, Docker, Kubernetes
• Proven experience with cloud architecture: commercial cloud, OpenStack
• Experience in the design and development of performant, scalable services
• Familiarity with database design and architecture: relational and non-relational
• Ability to work cross-functionally and participate in or lead design discussions
• Ability to independently lead the software development life cycle, from collaborating with product teams on requirements to executing technical design, implementation, and deployment
• Experience in knowledge sharing, mentoring, and coaching (i.e., onboarding, code reviews, leading junior engineers)
• Strong understanding of software development principles, such as object-oriented programming, design patterns, documentation, and agile methodologies
• Driven, self-directed personality
• Strong sense of mission and commitment to making a difference
• Bachelor’s degree in CS or related field, or similar experience
• Due to the nature of this role, candidates must be a US person (a US citizen, a US national, or a Green Card holder)

The Wish List

We’re very interested in developers who possess the above qualifications, and we heavily appreciate and consider the addition of:

• Understanding of synchronous/asynchronous programming and concurrency
• Comfort with integration of deep learning libraries (e.g., PyTorch, TensorFlow)
• Experience designing RESTful, gRPC, or GraphQL APIs
• Understanding of networked and distributed computing
• Knowledge of messaging systems (e.g., NATS, Kafka, RabbitMQ)
• Experience with workflow automation

The anticipated base pay range for this position is $160,000 to $200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. 

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Staff Machine Learning Engineer at Striveworks, you will be challenged—and trusted—on day one to be both a core contributor and a customer-facing technical leader on the projects and direction of the company. In this mission-critical work, you will design AI-powered solutions, you will bring them into being—from data shaping and ingestion, through analytics, to end-user delivery—and you will inform future platform capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You are passionate about applying both software engineering and data science to solve real-world problems. You are comfortable simultaneously leading a team, executing directly on critical elements of the plan, and presenting vision and outcomes to your customer.

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve the customers’ problems and leverage the capabilities of our AI operations platform.
• Translating requirements into a technical approach, design, scoping estimate, and execution plan.
• Leading execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process.
• Designing, orchestrating, and automating complex data pipelines and algorithms within modern architectures (cloud, event-driven, microservices, etc.).
• Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data.  
• Raising insights, opportunities, challenges, and feedback in order to improve group-level practice, capture reusable functionality, expand company opportunities, and accelerate time to value.
• Conducting mission-critical fieldwork and interfacing with customers and other stakeholders at their work sites.

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 20% of the time. 

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience 
• Broad proficiency in programming languages common to machine learning (excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and scikit-learn) and systems programming (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments
• Demonstrated experience defining, scoping, planning, and delivering complex technical solutions in production environments
• Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Demonstrated ability to lead, manage, and mentor small cross-functional teams that work across office, remote, and customer sites
• Ability to communicate complex topics with professionalism, competence, and clarity to internal and external stakeholders (both technical and non-technical) via documents, presentations, and conversations
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Experience with Kubernetes (k8s) and horizontally scaled architectures
• Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar
• Experience building AI agents and workflows
• Experience with complex and varied data types, such as multi-spectral imagery, full motion video, acoustic or sonar signals, synthetic aperture radar, or hardware telemetry
• Experience delivering technology solutions in secure government environments

The anticipated base pay range for this position is $200,000–$250,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. 

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Who We Are

Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com.

While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.

The Challenge

The Sr. Workday Integration & Extend Developer, will work directly with internal stakeholders to design, develop, deploy, and maintain system integrations that transform Workday data into consumable and actionable insights.

The ideal candidate will be naturally curious and driven to pursue answers and insights through systems integration, data analysis and will have an outstanding ability to communicate requirements, design, and solutions in a clear, precise, and actionable manner. They will work independently, or collaboratively as part of a team retaining an “end-user perspective” seeking to deliver meaningful and purpose driven integration in the most efficient way possible.

What You’ll Take On

• Design, build and support testing of Workday Extend applications based on client application requirements, incorporating functional, security, technical, performance, quality, and operations consideration through deployment.
• Support Extend applications, enhancements and software releases including making updates, testing, and documentation.
• Use existing HR systems to develop and deliver ad hoc, recurring, and self-service integrations.
• Address Workday integration and application needs for entire organization, creating new, updating existing, maintaining integration systems and applications and other enhancement requests.
• Support new system implementations, upgrades and software releases from the integrations' standpoint including making updates, testing and documentation.
• Recommend system enhancements to improve system integration capabilities across the organization.
• Support mass data upload using Workday EIB.
• Partner with business leaders in designing new integrations or enhancing current ones.
• Provide ongoing Workday case support in collaboration with HR Data Engineering and HR Technology team members.
• Participate in planning, validation and testing of service updates and new releases from Workday.
• Ensure data privacy and integrity.

What You Bring

• 5+ years of experience with Workday Studio building sophisticated, multi-endpoint orchestrations, EIB & Core Connectors, for specialized modules (like Benefits or Payroll), Workday Reporting (RaaS) and Calculated Fields.
• 5+ years of experience with Web Technologies & Programming, with REST and SOAP APIs, including authentication protocols like OAuth 2.0 and SAML, expert-level knowledge of XML, XSLT, XPath, and JSON, and MVEL & JavaScript/Java.
• 3+ years of experience with Workday Extend App Components, Page Builder, and PMD, including Workday Orchestrations, Custom Objects & Business Processes. Familiarity with Workday Copilot is a plus.
• Validated ability to synthesize information and translate complex information in an easy to understand, effective format that is both fit for purpose and audience appropriate.
• Strong working knowledge of HR systems, functions, processes and advanced reporting environments.
• Analytical skills - the ability to synthesize change quickly using subject and process knowledge.
• Independent problem solving – ability to articulate issues across projects and the business.
• Desire to learn new tools and think creatively.
• Attention to detail, strong organization skills, ability to multitask.
• Highly proficient with Excel and other Office products.
• Ability to maintain a high degree of confidentiality.
• Excellent oral and written communication skills.

What We Offer You

• Great Company Culture. Ranked as one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.
• Growth: As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.
• Work Hard, Play Hard. Our employees bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, company parties, game release events, monthly socials, and team challenges.
• Benefits. Medical (HSA & FSA), dental, vision, 401(k) with company match, employee stock purchase plan, commuter benefits, in-house wellness program, broad learning & development opportunities, a charitable giving platform with company match and more!
• Perks. Fitness allowance, employee discount programs, free games & events and stocked pantries.

Please be aware that Take-Two does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Take-Two also does not engage in any financial exchanges during the recruitment or onboarding process, and the Company will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scam or phishing exercise. Take-Two’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a take2games.com email domain). If you need to report an issue or otherwise have questions, please contact Careers@take2games.com.

As an equal opportunity employer, Take-Two Interactive Software, Inc. (“Take-Two”) is committed to fostering and celebrating the diverse thoughts, cultures, and backgrounds of its talent, partners, and communities throughout its organization. Consistent with this commitment, Take-Two does not discriminate or retaliate against any employee or job applicant because of their race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, and genetic information (including family medical history), or on the basis of any other trait protected by applicable law. If you need to report a concern or have questions regarding Take-Two’s equal opportunity commitment, please contact Careers@take2games.com.

** Please note that we're requiring in-office. The team is based in Austin, TX -- remote is not an option**

The Opportunity

We look for engineering managers who love working on hard real-world problems and stay hands-on as technical contributors. Our managers lead by example, mentor and develop others while managing our core services. This role requires active technical contributions together with people management.

What You’ll Do

• Architecting and roadmapping our core services.
• Develop engineers on the team, helping them advance in their careers
• Empower the engineering team to achieve a high level of technical productivity, reliability and simplicity
• Contribute to engineering-wide initiatives as a member of the engineering management team

About You

• You have 2+ years of experience serving in an engineering management role shipping customer-facing products.
• Proficient in Typescript, and/or Python, Java, Go, C#, or PHP
• You have managed a fullstack team of client, and backend engineers.
• You have a Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience.

You may be fit for this role if:

• You have a track record of leading productive engineering teams
• You’ve successfully recruited great people to your teams
• You thrive on a high level of autonomy and responsibility
• You encourage a healthy work environment that’s both supportive and challenging
• You’re excited to help engineers develop new skills and advance in their careers
• You’re clear and persuasive in writing and in person
• You lead by example, by setting the right context, and by helping teammates do their best work
• You’re technical enough to ask engineers good questions about architecture and product decisions
• You’re an experienced engineering manager who has mentored other engineering leaders
• You are very organized. With many people doing many things in a fast-moving company, strong organizational skills—both for yourself and for the team—will be required.
• You possess exceptional written and verbal communication skills.
• You are able to weigh several and often conflicting constraints and make rapid choices in a fast-moving and quickly-growing company.

Nice to have

• Experience writing client libraries and SDKs.
• 4+ years of industry experience as a Software Engineer or Software Developer.
• Familiarity with professional software engineering & best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing and operations.

The reasonably estimated base salary for this role ranges from $200,000 to $229,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. 

 ** Please note that we're requiring in-office. The team is based in Austin, TX -- remote is not an option**

What You’ll Do 

• Design, develop, and maintain software using modern languages. 
• Collaborate with cross-functional teams to define, design, and ship new features. 
• Troubleshoot and resolve complex technical issues across various programming languages and technologies. 
• Engage with customers to gather feedback, understand their needs, and provide technical support when required. 
• Mentor and guide other engineers, promoting best practices in software development. 
• Participate in code reviews to ensure high-quality code and maintainable systems. 
• Stay current with industry trends and emerging technologies, integrating them into our products where applicable. 
• Contribute to the overall architecture and technical strategy of the company.

About You

• 5+ years of experience in software development, preferably in a startup environment. 
• Proficient in Typescript, and/or Python, Java, Go, C#, or PHP
• Strong technical skills and experience working with developer tools and APIs. 
• Proficiency in multiple programming languages, including TypeScript.
• Strong communication skills, with the ability to articulate technical concepts to non-technical stakeholders. 
• Ability to work both independently and collaboratively in a fast-paced, agile environment. 

Nice To Have

• Deep technical expertise in SDKs and Docs. 
• Experience creating technical content, such as documentation and tutorials. 
• Experience working in a distributed organization, and ability to collaborate with teams in different time zones and cultures.

The reasonably estimated base salary for this role ranges from $180,000 to $204,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

Are you passionate about building software solutions to solve real customer problems? Do you like fast-paced work environments? Are you passionate about modern programming languages, design patterns, and scalable architectures? You’ll be right at home here!

You will be joining the Enterprise Systems tech community, the vital architectural backbone where Realtor.com®'s most ambitious strategic initiatives transform into reality. Our team doesn't just manage software; we build the high-speed 'engine room' that powers the entire business lifecycle—integrating complex sales, billing, inventory, and fulfillment platforms into a seamless, high-scale ecosystem.

At Realtor, you will be part of a forward-thinking community dedicated to compressing the distance between business intent and execution. We research and deploy cutting-edge autonomous workflow engines to ensure our customers and internal partners have a best-in-class, friction-free experience. We strive to innovate by building self-healing infrastructures and AI-driven automation that make the transaction journey faster and more intelligent than ever before. Join us to push the boundaries of what’s possible, turning traditional systems of record into dynamic engines of growth, while learning from world-class talent in a culture that thrives on experimentation and impact.

As a Staff Full Stack Developer, you will be the bridge between complex enterprise data and high-performance user experiences. You will join the Enterprise Systems tech community to build the tools that empower our customers and partners to navigate the home-buying lifecycle with unprecedented speed. You aren't just writing code; you are designing the digital workflows that ensure our sales, order, and fulfillment engines run at peak efficiency.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

Top Reasons to Apply:

• Lead a "Greenfield" Launch: You will be the founding engineer for our new Digital Storefront. This isn't about maintaining legacy code; it’s about architecting a high-performance "online store" from the ground up.
• High-Impact Technical Ownership: Serve as the strategic bridge between business intent and execution, designing the scalable micro-frontend architectures that power our most ambitious enterprise initiatives.
• AI-Accelerated Engineering: Maximize your impact by utilizing LLMs and AI coding assistants to automate repetitive tasks, allowing you to focus on high-level architectural and strategic challenges.
• Cutting-Edge Tech Ecosystem: Master a sophisticated stack featuring React/Next.js, Node.js, and AWS, while integrating real-time event-driven services and Generative AI directly into the user experience.
• Culture of Innovation & Speed: Join a world-class "engine room" environment that prioritizes experimentation, self-healing infrastructure, and the deployment of autonomous workflow engines.

What You'll Do:

• Engineer End-to-End Solutions: Design and develop scalable, responsive web applications using React and Node.js/Python that simplify complex enterprise workflows.
• Architect Micro-Frontends: Implement modern frontend architectures that integrate seamlessly with our Salesforce ecosystem and internal microservices.
• Optimize Data Pipelines: Build and maintain high-throughput APIs and event-driven services (using Kafka or AWS EventBridge) that power real-time business dashboards.
• Embed Intelligence: Integrate Generative AI and machine learning models directly into the UI to provide predictive insights and automated task suggestions for our users.
• Champion Quality & DevOps: Drive the adoption of "Shift-Left" testing, CI/CD automation, and observability tools to ensure our enterprise tools are as resilient as our consumer-facing products.
• Collaborate & Mentor: Partner with Product Managers and UX Designers to translate business requirements into technical reality, while mentoring mid-level engineers through code reviews and pair programming.

What You'll Bring:

• Full Stack Mastery: 8+ years of professional experience building and scaling production-grade applications using modern frameworks like React/Next.js and Node.js, Go, Python or Java.
• System Design Fluency: Deep understanding of distributed systems, REST/GraphQL API design, and how to optimize for performance across the entire stack.
• Cloud-Native Mindset: Hands-on experience with AWS (Lambda, ECS, DynamoDB) and containerization (Docker, Kubernetes) in a CI/CD environment.
• Database Expertise: Proficiency with both relational databases (PostgreSQL/MySQL) and NoSQL solutions, including experience handling large-scale data migrations.
• Modern Web Expertise: Strong command of CSS-in-JS, TypeScript, and state management libraries (Redux/Zustand), with a focus on accessibility and performance.
• Agile Leadership: Proven ability to lead features from conception to deployment in an Agile/Scrum environment, making pragmatic trade-offs between speed and technical debt.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

How we Reward you:

Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degree and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

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.

We are seeking a Staff Site Reliability Engineer to join our newly formed Operations Excellence organization, reporting to the Director, Operations Excellence. This foundational role will shape the reliability, observability, and operational excellence of our platform infrastructure serving millions of users. As a Staff SRE, you will be a technical leader and mentor who establishes best practices, drives architectural decisions, and enables our 600+ engineers to deliver exceptional customer experiences.

You will work on critical platform systems including EKS infrastructure, Skyway (CI/CD), Frontdoor (Tyk API Gateway), Pantheon (Apollo GraphQL Federation), and our observability stack, while establishing chaos engineering practices and driving cost optimization initiatives with measurable ROI.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You'll Do:

Platform Reliability & Infrastructure

• Design and maintain highly available AWS infrastructure including EKS clusters, Fargate (ECS), and multi-region architectures
• Own reliability of critical services: Skyway (CI/CD), Frontdoor (Tyk), Pantheon (Apollo GraphQL), and supporting infrastructure
• Establish SLIs, SLOs, and error budgets for Tier 1/2/3 systems; lead architectural reviews for reliability and cost-efficiency
• Drive adoption of reliability patterns including circuit breakers, graceful degradation, and
  automated failover Observability & Cost Optimization
• Build comprehensive observability using NewRelic for APM, distributed tracing, metrics, and logging for rapid troubleshooting
• Create actionable dashboards and alerts that reduce MTTD and MTTR; establish observability standards across teams
• Analyze infrastructure spend and implement FinOps practices including rightsizing, reserved capacity, and resource lifecycle management
• Drive cost-conscious architecture decisions and optimize CI/CD spend (CircleCI, Argo CD optimization) Chaos Engineering & Incident Response
• Design chaos engineering experiments to identify system weaknesses; build frameworks for safe production testing
• Lead game day exercises and disaster recovery simulations; create runbooks and automation for resilience
• Participate in on-call rotation for critical systems; lead post-incident reviews and drive systemic improvements
• Mentor engineers on incident response, communication, and escalation; contribute to System Health Scorecard Technical Leadership
• Serve as technical leader and mentor for the growing Operations Excellence team; establish SRE principles and culture
• Partner with Platform Engineering, Quality Engineering, and product teams on reliability initiatives
• Support security initiatives including AWS Secrets Manager migration and compliance requirements (SOC 2, PCI, GDPR)
• Contribute to Developer Experience metrics and platform adoption goals 

What You'll Bring:

• 8+ years in Site Reliability Engineering, DevOps, or Infrastructure Engineering with proven track record improving system reliability
• Bachelor’s degree or equivalent experience
• 5+ years hands-on experience with AWS (EKS, EC2, RDS, S3, CloudWatch, IAM) and Kubernetes including multi-cluster management
• Strong programming skills (Python, Go, or Java) with infrastructure automation and Infrastructure as Code experience (Terraform, CloudFormation)
• Production experience with observability tools (NewRelic, Datadog, Prometheus, Grafana, Splunk) and distributed systems architecture
• Experience with CI/CD platforms and GitOps workflows (CircleCI, Argo CD, Jenkins); on-call rotation and high-severity incident response
• Preferred: Chaos engineering tools, API Gateway technologies (Tyk/Kong), GraphQL
  federation (Apollo), cost optimization initiatives with measurable ROI, FinOps principles

Technical Skills & Qualities: 

• Cloud & Infrastructure: AWS (EKS, Fargate, Lambda, VPC, Route53, CloudFront), Kubernetes, Docker, Istio Service Mesh
• CI/CD & GitOps: Argo CD, CircleCI, Jenkins, GitHub Actions
• Observability: NewRelic - APM, distributed tracing, metrics & logging; Splunk - logging
• IaC & Automation: Terraform, CloudFormation, Helm, Kustomize, Python/Go/Bash
• Platform Services: Tyk Gateway, Apollo GraphQL, AWS Secrets Manager, Vault
• Incident Management: OpsGenie, PagerDuty, ServiceNow Leadership Qualities
• Excellent communication with ability to explain complex technical concepts to diverse audiences
• Proven mentorship and collaboration skills across engineering, product, and business teams
• Self-motivated and autonomous with systems thinking mindset focused on long-term sustainability
• Data-driven decision making with customer-centric approach and empathy for developer experience

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How we Reward you:

Realtor.com® is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degree and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

FEQ227R150

Mission 

As a Sr. Specialist Solutions Engineer (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks that span a large variety of use cases.  You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large scale data warehousing technologies and lake house architecture.  SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform.  As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning competitive evaluations, architecture design, and production migration planning.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful cloud transformations on large scale data warehousing workloads - ranging from evaluation to architecture design to production deployment.
• Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.
• Become a technical expert in an area such as competitive data warehousing evaluations or helping set up successful workload migrations.
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production.
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community.

What we look for:

• 3+ years of experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDW systems.
• Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP.
• Deep Specialty Expertise in at least one of the following areas:
• Experience scaling large analytical data workloads in the cloud that are performant and cost-effective.
• Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools.
• Experience successfully migrating on-premise EDW workloads to the public cloud.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
• Production programming experience in SQL and Python, Scala, or Java.
• Experience with the AWS, Azure, or GCP clouds is highly desirable.
• 3 years of professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads)
• 3 years of customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed.

P-1381

At Databricks, we are passionate about enabling Data & AI 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. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Team:

The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.

What your impact will be:

• Deep Dive Troubleshooting: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies.
• Root Cause Analysis: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.
• Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput.
• Product Improvements: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability.
  Scalability & Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation.

What we look for:

We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in all: 

• Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala.
• Product Supportability Track: Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers.
• AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.

P-343 - This role is hybrid with 3 days in our Plano office.

As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. 

The impact you will have:

• Troubleshoot and resolve complex customer issues related to Databricks platform
• Provide best practices support for custom-built solutions developed by Databricks customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What we look for:

• 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
• Strong experience with SQL-based database is required.
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Candidate must possess excellent English written and oral communication skills.
• Experience with "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.

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.

About the Role

Realtor.com is looking for a Director of Engineering, Consumer Enablement to lead the platform and enablement organization that powers all consumer-facing web and mobile experiences. This is a high-impact engineering leadership role responsible for three core pillars: Web & Mobile Platforms, Consumer Services, and Quality Enablement — the foundational systems and tooling that every consumer product team at Realtor.com builds on.

You will lead a multi-team org of ~40 engineers (FTE + contractors), managing senior engineering managers and staff engineers across web platform, mobile platform, component systems, backend services, and quality engineering. You'll report to the VP of Consumer Engineering.

This role is equal parts technical depth and organizational influence. You're not shipping features — you're building the paved path that lets dozens of engineers ship faster, safer, and with higher quality.

What You'll Do

Platform Strategy & Execution

• Own the technical roadmap for web and mobile platform infrastructure, including the MFE architecture (web-islands), CI/CD pipelines, React Router 7 migration (Project Oracle), and headless CMS platform
• Drive the next evolution of Realtor.com's design system (rdc-ui V4: Panda CSS migration) and component ecosystem used across 41 codebases
• Lead the decomposition of legacy monolithic services (Hestia) and the transition to domain-owned GraphQL subgraphs via Pantheon federation

Engineering Enablement

• Define and deliver the "paved path" — standardized patterns, tooling, and guardrails that reduce cognitive load for 100+ consumer engineers
• Own DORA metrics for the org
• Partner with stream-aligned teams (Buyers & Sellers, Search, Personalization, New Homes, Rentals, Mobile squads) as an internal platform provider

Quality at Scale

• Evolve the quality enablement model — shifting quality left through automation, AI tooling, and developer-owned testing
• Oversee the testing pyramid: reducing E2E test reliance, scaling Playwright frameworks, and rolling out the AI Quality Toolkit

Cloud Cost & FinOps

• Own the engineering cost envelope for Consumer Enablement — AWS spend, CircleCI credits, and third-party tooling budgets
• Partner with FinOps and infrastructure teams to instrument cost attribution, identify rightsizing opportunities, and enforce cost-aware development practices across the paved path
• Establish unit cost baselines for key platform operations (e.g., cost-per-deploy, cost-per-test-run) and drive measurable efficiency improvements quarter over quarter

People & Organization

• Lead and develop 3 senior engineering managers and multiple staff engineers across 7 sub-teams
• Create clear career frameworks and growth paths that retain top engineers and set expectations at every level
• Build inclusive team cultures with high psychological safety — where engineers do their best work, managers are effective coaches, and feedback flows in all directions
• Drive hiring rigor: define role profiles, calibrate leveling, and make high-quality talent decisions in partnership with recruiting
• Manage headcount planning, contractor-to-FTE ratios, and capacity allocation across competing priorities in a lean org

AI Strategy & Developer Enablement

• Partner with engineering managers to embed AI practices into daily workflows — code review, documentation, incident response, sprint planning
• Represent the Consumer Engineering perspective in AI investment decisions: what to build internally, what to buy, and what to deprecate

What We're Looking For

Required

• 10+ years of software engineering experience with at least 5 years leading engineering teams, including managing managers
• Bachelor’s degree or equivalent experience
• Demonstrated experience owning platform, infrastructure, or developer tooling organizations — not just product delivery teams
• Deep understanding of modern frontend architecture: micro-frontends, component systems, React, TypeScript, CI/CD pipelines
• Experience with backend GraphQL/API services and federated architecture patterns
• Strong track record of improving engineering velocity and developer experience at scale (DORA metrics, lead time, deployment frequency)
• Excellent cross-functional communication and stakeholder management — able to influence without authority, represent platform value to product and business leaders, and navigate competing priorities across multiple stream-aligned teams

Preferred

• Experience with AI developer tooling strategy: evaluating, deploying, and driving adoption of AI-assisted development tools across an engineering organization
• Hands-on background with FinOps practices: cloud cost attribution, unit economics for platform operations, CI/CD spend optimization, and engineering budget ownership
• Experience with mobile platform engineering (iOS/Android release processes, CircleCI, React Native or native)
• Familiarity with Apollo Federation, GraphQL schema governance, and Pantheon-style API gateway patterns
• Background in quality engineering transformation — shifting from manual QA models to developer-owned quality
• Experience with headless CMS platforms and content-driven architecture
• Familiarity with AWS infrastructure (EKS, Lambda, DynamoDB, CloudFront, ArgoCD)

Tech Stack You'll Own

React · TypeScript · Node.js · GraphQL (Apollo Federation) · NestJS · Swift · Kotlin · AWS (EKS/Lambda/DynamoDB) · CircleCI · ArgoCD · Playwright · Panda CSS · styled-components · New Relic · Splunk

Why This Role

• Org-wide leverage: Everything consumer runs on what this team builds. Your decisions affect 100+ engineers daily
• Clear technical vision: Active initiatives with real momentum — Oracle, CMS, rdc-ui V4, Hestia decomposition — not greenfield ambiguity
• AI-forward culture: The org is actively building and deploying AI-powered tooling with 100% AI adoption as a company goal
• Senior team: You'll work alongside Staff and Sr. Staff engineers who are already deep domain experts
• Real ownership: Full responsibility over people, platform roadmap, and cost envelope — not a coordinator role

What You'll Do:

• Engineer End-to-End Solutions: Design and develop scalable, responsive web applications using React and Node.js/Python that simplify complex enterprise workflows.
• Architect Micro-Frontends: Implement modern frontend architectures that integrate seamlessly with our Salesforce ecosystem and internal microservices.
• Optimize Data Pipelines: Build and maintain high-throughput APIs and event-driven services (using Kafka or AWS EventBridge) that power real-time business dashboards.
• Embed Intelligence: Integrate Generative AI and machine learning models directly into the UI to provide predictive insights and automated task suggestions for our users.
• Champion Quality & DevOps: Drive the adoption of "Shift-Left" testing, CI/CD automation, and observability tools to ensure our enterprise tools are as resilient as our consumer-facing products.
• Collaborate & Mentor: Partner with Product Managers and UX Designers to translate business requirements into technical reality, while mentoring mid-level engineers through code reviews and pair programming.

What You'll Bring:

• Full Stack Mastery: 8+ years of professional experience building and scaling production-grade applications using modern frameworks like React/Next.js and Node.js, Go, Python or Java.
• System Design Fluency: Deep understanding of distributed systems, REST/GraphQL API design, and how to optimize for performance across the entire stack.
• Cloud-Native Mindset: Hands-on experience with AWS (Lambda, ECS, DynamoDB) and containerization (Docker, Kubernetes) in a CI/CD environment.
• Database Expertise: Proficiency with both relational databases (PostgreSQL/MySQL) and NoSQL solutions, including experience handling large-scale data migrations.
• Modern Web Expertise: Strong command of CSS-in-JS, TypeScript, and state management libraries (Redux/Zustand), with a focus on accessibility and performance.
• Agile Leadership: Proven ability to lead features from conception to deployment in an Agile/Scrum environment, making pragmatic trade-offs between speed and technical debt.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

How We Reward You:

Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degree and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

The Work You’ll Do:
You’ll design, build, and operate backend services and data integrations that power personalized marketing experiences across CRM and Digital Marketing channels at Realtor.com®. You’ll work across the marketing technology stack—connecting internal data platforms to tools that activate, measure, and optimize campaigns. Your work will ensure the reliability, observability, and scalability of data pipelines that enable millions of users to receive relevant messages at the right time.

• Design, build, and operate backend services and data integrations that are secure, observable, and cost-efficient, using modern cloud patterns on AWS.
• Collaborate with data platform teams on the Snowflake and Kafka data platform (streaming and batch) to enable reliable data collection, processing, and access for near real-time marketing and analytics use cases.
• Contribute to streaming pipelines and consumers (e.g., Kafka/MSK) and batch workflows backed by Snowflake/DBT/Airflow/Hightouch, with a focus on correctness, performance,
  and operational excellence.
• Implement and extend CI/CD pipelines on the company’s deployment platform (CircleCI GitHub + Argo), driving paved-path adoption, test automation, and deployment safety.
• Help instrument, validate, and monitor clickstream and service events in partnership with data reliability teams, improving event health and taxonomy alignment across systems.
• Strengthen observability for services and pipelines (metrics, logging, tracing) to reduce mean time to detection/recovery and enable effective on-call rotations.
• Partner with cross-functional stakeholders (marketing, engineering, product, analytics, privacy) to define requirements, de-risk designs, and ship incremental value.
• Write clear technical documentation, contribute to runbooks, and participate in design and code reviews to raise engineering quality and knowledge sharing.
• Champion reliability and governance: adopt data lineage, ownership, and catalog tooling; incorporate validation and guardrails that prevent bad data from propagating.

What You’ll Bring:

• 5+ years of experience building backend systems and/or data-intensive services in production, with ownership across design, implementation, and operations.
• Bachelor’s degree or equivalent experience.. 
• Proficiency in one or more of: TypeScript/Node.js, Python, Java/Kotlin; strong foundation in writing maintainable, testable code.
• Solid SQL skills and experience with Snowflake or comparable cloud data warehouses; familiarity with data modeling and working with structured/semi-structured data.
• Experience with event-driven systems and streaming technologies (e.g., Kafka/MSK) and building resilient consumers/producers
• Hands-on with AWS services (e.g., Lambda, ECS/EKS, S3, IAM, MSK, API Gateway) and Infrastructure-as-Code (Terraform or CloudFormation).
• CI/CD expertise (preferably on CircleCI + GitHub + Argo) and a testing mindset across unit, integration, contract, and data validations.
• Strong observability practices (logs, metrics, traces) using tools like New Relic and Splunk; effective incident response and post-incident improvement.
• Excellent collaboration and communication skills; ability to partner with product, analytics, and other engineering teams to deliver outcomes.

Nice To Have Experience:

• Experience with CRM and digital marketing platforms (Braze, Cordial, Google Ads, Meta Ads, etc)
• Experience with the Snowflake data platform and its streaming/batch components; DBT and Airflow familiarity.
• Background in clickstream data reliability: event taxonomy, validation tooling, event health monitoring, and developer workflows that “shift-left” data quality.
• Familiarity with tracking and SDK ecosystems (e.g., Tracking SDK and “Direct Send”), experimentation, and downstream analytics integrations.
• Knowledge of data governance practices and lineage/discoverability platforms like the Data Catalog; exposure to privacy and compliance workflows (e.g., CCPA/CPRA).
• Experience operating services on Kubernetes (EKS), GitOps/ArgoCD, and adopting paved-path CI/CD patterns on CircleCI.

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

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.

Software Architect – Inspire11  

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 
  
• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 
• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

What you can expect in this role: 

• Lead highly collaborative, cross-functional development teams across multiple client projects in diverse industries
• Partner with key stakeholders (CIOs, CTOs, Directors, and business leaders) to shape and drive strategic technology initiatives
• Own the full software development lifecycle—from requirements gathering and architecture through implementation and rollout
• Design, develop, and support complex, mission-critical applications and systems
• Define and maintain architecture standards, best practices, and technical guidelines
• Contribute to the evolution and enhancement of both new and existing applications, platforms, and components 

Tools for success: 

• Experience architecting and delivering end-to-end software solutions—from modern front-end interfaces (React) to scalable back-end systems and cloud infrastructure (AWS, Azure)
• Proven full-stack development skills with deep expertise in JavaScript (React, Node.js), Java/Kotlin, Python, and designing/documenting APIs
• Adept at selecting the right tools, languages, and frameworks to match the needs of each unique software solution
• Skilled in working directly with clients to lead projects from ideation to delivery in fast-paced, collaborative environments
• Experienced with cloud platforms (AWS, Azure), containerization (Docker, Kubernetes), CI/CD pipelines (Jenkins, GitHub Actions), and modern version control using Git
• Skilled in Agile methodologies (Scrum, Kanban) with a strong foundation in database design and development using both relational and non-relational systems (e.g., MySQL, PostgreSQL, MongoDB)
• Passionate about mentoring, continuous learning, and shaping a modern, forward-thinking engineering culture
• Actively explores AI/ML technologies and integrates them into solutions; stays current with trends in the evolving AI landscape 

This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

For more information regarding our compensation and benefit offerings please see below: 

Software Engineer – Inspire11  

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 
• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

What you can expect in this role: 

• Collaborate closely with clients to design and build custom technology solutions tailored to business needs.
• Develop responsive, declarative front-end user interfaces using ReactJS and modern JavaScript libraries, while also building complex back-end systems using Java (or Scala/Kotlin), C#, Node.js, or Python. 
• Design, develop, and support critical applications and system components from end to end.  
• Write and execute unit tests; troubleshoot and recommend solutions for complex technical issues.
• Contribute to ongoing enhancement of both new and existing applications across the full stack. 

Tools for success: 

• Contribute to ongoing enhancement of both new and existing applications across the full stack. 
• Proficient in full-stack development with expertise in either modern JavaScript & React, or backend-languages like Java, Kotlin, Python, etc., along with API design and documentation 
• Experienced with both relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB), and database schema design.   
• Hands-on experience with cloud platforms (primarily AWS), containerization tools (e.g., Docker), and CI/CD pipelines (e.g., Jenkins, GitHub Actions).   
• Strong understanding of Agile methodologies (Scrum, Kanban) and version control using Git.   
• Passion to mentor other engineers, driving technical excellence, while contributing to a strong engineering culture.
• Actively explores and integrates AI/ML technologies into development workflows; stays up to date on the rapidly evolving AI landscape and market trends.   
• Committed to continuous learning and staying current with evolving technology trends, frameworks, and best practices.   
• Excellent communicator with the ability to thrive in fast-paced, dynamic environments and take initiative across varied responsibilities.    

This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

For more information regarding our compensation and benefit offerings please see below: 

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.