ABOUT THE ROLE

Under the guidance of an engineering manager or field service manager, act as a team design application engineer and regular field implementation. As a fully competent engineer the primary goal of the Electrical Design Engineer is to apply sound and diversified knowledge of engineering principles and practices in broad areas of assignments in related fields and to develop broad multi-task, electrical substation experience to effectively manage medium to large sized EPC projects. 

Some of the responsibilities you can expect include the following: 

• Independently make decisions regarding engineering problems and methods.
• Utilizing intuition and innovation independently solve design problems.
• Instill a professional image with all dealings with Equisales clients, as well as interpersonal relationships with team members. Provide encouragement, insight, mentoring and challenge to team members under your supervision.
• Utilizing advanced techniques, precepts and practices of the engineering field and related sciences and disciplines, independently carry out engineering assignments based on the International Electrical Codes (IEC) as well as American National Standards Institute (ANSI).
• Coordinate QA/QC design reviews as well as final sign-off of documents issued for procurement and construction.
• Perform detailed electrical design and system studies for medium to extra high voltage substation facilities and power systems including load flow studies; short circuit studies; protective relay coordination and protection studies and other specialized analysis associated with power system engineering, including but not limited to, AC/DC loading calculations and battery/charger sizing.
• Develop the one-line diagrams, AC/DC control schematics, wiring drawings, and cable schedules.
• Develop control building along with relaying and metering specifications.
• Travel to job site required.

ABOUT YOU

• BSEE or BSCE with minimum 5 years’ experience, or an M .S. degree in engineering with sufficient experience required for advancement as determined by management, or a combination of applicable education and experience as determined by management; professional registration or expectation of achieving professional registration within a specified time period.
• While performing the duties of this position the employee is frequently required to sit for long periods of time; occasionally lift a maximum of 20 pounds; specific vision abilities required by this job include close vision, color vision, ability to adjust focus.
• Occasional travel.
• FLSA STATUS: Exempt.

ABOUT THE WORK ENVIRONMENT

This role is remote with travel to our various Data Center locations. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

What you'll do

• Contribute to our application security program. Work with our SAST, DAST, and SCA tooling, triage and prioritize vulnerabilities, and partner with engineering teams to drive remediation. Participate in threat modeling and secure design reviews on new products and services.
• Share incident response on-call. Investigate, contain, and resolve security incidents alongside the rest of the team. Help refine our runbooks, detection coverage, and post-incident process.
• Help harden our cloud and Kubernetes environment. Contribute to security posture across GCP and GKE: IAM and least-privilege, secrets management, container and supply chain security, and IaC guardrails (Terraform).
• Build detections and security automation. Engineer high-signal detections from cloud, identity, and application telemetry. Automate the toil of vuln triage, access reviews, SaaS posture, questionnaire workflows so the team scales.
• Streamline customer security work. Help respond to customer security questionnaires and audits, and build internal tooling and a knowledge base so this scales as deal volume grows.
• Strengthen business continuity and DR. Help assess threats to continuity, contribute to DR plans, and run real exercises against them.
• Help drive a security culture across engineering. Pair on developer training, secure-coding guidance, and standards work to make the secure path the easy path.

Who We Hope You Have: 

• 5+ years of hands-on experience managing cloud infrastructure and automation.
• Experience in achieving SOC2 Type II, ISO 27001, or similar certifications
• Experience with Node.js or Python for backend services in a microservices architecture.
• 3+ years of experience with cloud providers, preferably Google Cloud Platform (GCP).
• Solid experience with cloud security on GCP or AWS, including IAM, Kubernetes, and IaC.
• Knowledge of asynchronous processing, message queues (e.g., Kafka, Pub/Sub), and event-driven architecture for backend applications.
• Experience focused on the internal engineer team success

$160,000 - $190,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks. 

We are looking for a Senior Engineer to join us. You would be working with our distributed team of engineers on new products, core protocols, or client projects. The position is remote-first, but we hope to get some face time in the form of company retreats.

Job duties include, but are not limited to:

• Researching and understanding complex protocols
• Designing, implementing, and documenting distributed systems
• Developing protocols or protocol-driven applications in Rust
• Designing and developing testing and quality assurance processes
• Communicating with clients or open source communities

Must-have skills and qualifications:

• Experience in systems programming
• Experience in leading small teams
• Ability to design interoperable software architectures
• At least 5+ years of experience in collaborative software development
• At least 3 years of hands-on Rust experience
• Full proficiency in English

Good-to-haves:

• Experience with domain-specific languages
• Cryptography & infosec knowledge

About the role

In this role, you’ll be responsible for developing microservices in a distributed deployment environment with an emphasis on containerisation with Docker and K8S. You won’t just be writing simple CRUD applications, but instead will be working on the core logic of complex systems that are accessed millions of times a day. We wrote our system from scratch about 3 years ago, so you’ll be working with the latest technology and won’t have to worry about decades old legacy code.

With our millions of users a key focus for our platform is that of stability and robustness, by ensuring we have 24/7 coverage on our team we aim to be the best sporting platform in the world.

Our stack (we don't expect you to have all of these)

• Language: Java 17
• Frameworks: Spring Boot (Tomcat, Netty), Spring Data, Spring Cloud
• Architecture: Microservices, REST API, Message Queues
• Database: MySQL, MyBatis, ShardingSphere, MongoDB
• Caching: Redis (AWS ElastiCache), ElasticSearch
• Message Queue: RocketMQ
• Cloud: Docker, Kubernetes, AWS
• Monitoring: Grafana, Prometheus, Loki, Tempo, AWS CloudWatch

What you'll be doing

• Work across a Friday-Tuesday shift pattern (including the weekend)
• Develop highly-scalable mobile internet backends for millions of users
• Work with Project Managers and other development team members to determine new features and user stories needed in new / revised applications or large/complex development projects
• Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate
• Respond to support calls for applications in production for quick diagnosis and repair to keep things running smoothly for users
• Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives
• Mentoring less experienced team members 

What you'll bring

• Minimum of 3+ Years within a relevant role
• Be based within Europe or Latin America
• Preferred experience in Spring Boot, Spring Cloud, Spring Data and iBATIS
• Strong experience with highly-scalable web backends
• Experience designing highly transactional systems
• Advanced proficiency in Object Oriented Design (OOD) and analysis
• Advanced proficiency in application of analysis / design engineering functions
• Advanced proficiency in application of non-functional software qualities such as resiliency and maintainability
• Advanced proficiency in modern behavior-driven testing techniques
• Deep understanding of Microservices
• Proficient in SQL
• Expert knowledge of application development with technologies like RabbitMQ, MySQL, Redis etc
• Strong experience with container and cloud solutions such as Docker, Kubernetes and AWS Cloud
• An ability to work independently
• Excellent communication skills in English

What’s in it for you

• Sporty is a remote first company in pursuit of sustainability
• A competitive salary + individual performance based bonuses every quarter
• 28 days paid annual leave
• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
• Referral bonuses & flash bonuses
• Top of the line equipment
• Annual company retreats to provide great internal networking opportunities

Interview process

• Remote video screening with our Talent Acquisition Team 
• Offline Take home assignment
• Remote video interview with Team Members (60 Mins)
• Final discussion with the hiring manager (60 mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. 

Job Responsibilities:

• Firm-Wide Cloud Platform
  • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
  • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). 
  • Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
  • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
  • Own FinOps visibility and cost optimization frameworks across all trading and research workloads. 
  • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. 
  • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. 
  • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
• Cloud Migration (CME-GCP)
  • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. 
  • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). 
  • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. 
  • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. 
  • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
• Crypto Desk – Specialized Support
  • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. 
  • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. 
  • Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.

Requirements:

• At least 5+ years of experience in a similar role in the industry
• Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
• Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
• Extensive experience with Terraform at scale
• Direct experience supporting electronic trading or low-latency systems
• Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
• GCP & Cloud Migration
• Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
• Working knowledge of GCP IAM, Organization Policies, and multi-project governance
• Understanding of multi-cloud networking patterns and cross-cloud security posture management
• Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
• Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

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

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

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

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

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

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

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

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

WP Cloud powers WordPress at scale, and security is a critical part of that foundation. We’re expanding our security team to support WP Cloud, while also contributing to the protection and intelligence provided by WPScan and Jetpack Protect. As a Security Researcher, you will analyze vulnerable and malicious code, track emerging threats, and help build the tools and processes that detect, prevent, and remediate malware and other security issues across the WordPress ecosystem. If you have a knack for solving puzzles and a passion for documenting and operationalizing solutions, this is a great opportunity to make a broad impact.

The Senior Security Engineer position might be a good fit if you:

• Enjoy securing and protecting websites and applications.
• Have at least 3 years of experience as a security researcher, or equivalent experience investigating vulnerabilities, malware, or other threats.
• Understand threat models, security threats, vulnerabilities, and common attack vectors such as XSS, injection, hijacking, social engineering, and so on, along with how to mitigate them.
• Have experience with PHP and some exposure to software engineering.
• Are highly collaborative, and love participating in code reviews and discussions about architecture or design.
• Have a strong ability to use AI tools effectively to accelerate your work, improve analysis, and enhance the quality of your solutions.
• Are open, and able, to travel 2-3 weeks per year to meet up with your teammates in person.

Extra Credit:

• Experience with penetration testing and associated tools.
• Previous experience with malware detection systems.
• Reported vulnerabilities in the past.
• Know your way around WordPress and its file and database structures.
• Have experience writing and debugging WordPress plugins and themes.

Speaking of interests and skills, here are some areas in which you can grow and have further impact in the future at the company:

• Leadership – we offer a variety of leadership options to those who have an interest, including becoming a team lead and managing releases.
• Learning and development – we have a generous personal development budget and encourage you to grow your skills through courses, books, and conferences.
• Architecture – we encourage developers to build expertise in the systems they work with, guide their evolution, and mentor other developers working on them.
• Engineering effectiveness – we believe in helping other developers become more effective through tools, practices, cross-team collaborations, and process 

Compensation and Benefits

Salary range: $70,000-$170,000 USD.  Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-Remote

Senior Software Engineer: Front-End

About the role 

We are seeking someone to lead, architect and develop features for our Risk Cloud platform. This role requires a deep understanding of business and engineering goals, and the ability to work collaboratively with team members to achieve them. The ideal candidate will inspire and exemplify cross-functional collaboration, working closely with product managers, designers, engineers, and QA professionals. They will advocate for and implement modern best practices in engineering, including a testing-first mindset, frequent releases, and iterative development with small feedback loops. Additionally, effective communication and the ability to produce clear documentation for features and processes are essential for this position.

How you'll spend your time:

• Develop / Utilize Angular, Typescript, and other leading Front-End tools to build a market leading product.
• Quality / Write tests and review code to facilitate an efficient dev cycle and prevent the occurrence of bugs.
• Collaborate / Work closely with cross-functional team members using Agile methodologies to iterate on feature work.
• Optimize / Help improve our front-end application for speed, reliability, and scalability.

What we use:

• Frontend: TypeScript, Angular, Webpack, Sass
• Backend: Spring Boot, Java, Kotlin, Go
• Data: Neo4j, Redis, RabbitMQ, PostgreSQL
• Test: JUnit, Karma, Jasmine, Spectator, Cypress
• Infrastructure: AWS, Terraform, Kubernetes, Docker, Ansible
• Work: GitLab, Slack, Jira, Confluence, G Suite

We get excited about you if you have:

• Significant (6+ years) of professional experience in software engineering or a Bachelor's in Computer Science or a related field (we value outcomes over number of years)
• Desire to grow as a leader, architect, and coder within an engineering atmosphere that moves quickly and strives to raise the bar.
• Understanding of best practices and competency in one or more modern languages (it doesn't have to be a language that is part of our stack).
• Strong expertise developing web applications with modern Front-End frameworks.
• Desire for an autonomous environment that enables you to do your best work.

How you’ll Raise the Bar:

• The tools, languages, and frameworks powering our platform align with your work history.

• While a Front-End expert, you thrive working across the full software stack.
• You’ve worked to bolster or optimize E2E systems.

The anticipated base salary range for the role is $125,000 - $165,000 per year + variable + equity + benefits. Actual salaries may vary and will be based on factors, such as the candidate's qualifications, skills, competencies, and proficiency for the role. Internal candidates who have current pay within or above the hiring range are still encouraged to apply if interested.

LogicGate’s Hybrid Workplace

Our hybrid workplace allows for flexibility aligned to role responsibilities and exceptional customer delivery. Location requirements for this role can be found above. 

Total Rewards 

We are proud to offer a variety of competitive, inclusive, and comprehensive total rewards that are designed to support the unique needs of our employees both inside and outside of the workplace.

In addition to offering competitive salary and variable compensation plans, equity options, and flexible health and wellness benefits, we are proud to offer generous PTO, Annual Company Holidays, Health Days, and Summer Fridays.

Employees' growth and development are supported throughout their career journey through informal and formal programs and activities, including access to LinkedIn Learning, regular People Leader training, and our internal Mentorship Program. 

Our Culture

At LogicGate, our culture and employee experience are grounded in our core values of Be as One, Do the Right Thing, Embrace Curiosity, Own It, Empower Customers, and Raise the Bar, which guide how we show up - for each other, our customers, and all we interact with.

We believe that the strongest teams are made up of individuals who bring their different identities, experiences, and perspectives to the table. We are committed to fostering an inclusive work environment where all employees’ differences are celebrated and everyone is encouraged to bring their authentic selves to work.

We encourage everyone to join one of our Employee Resource Groups (AAPI @ LogicGate, Pride at LogicGate, and Women in LogicGate) to participate in and contribute to conversations that foster an inclusive culture.

LogicGate also believes strongly in giving back to the communities in which we live and work. To enable our teams to give back, we offer paid volunteer hours and company-wide charitable activities supporting a variety of organizations and causes.

We are proud to have been recognized as a top workplace by Built In, Crain’s Chicago Business, the Chicago Tribune, and more. Visit our website to learn about our latest recognition.

Learn more about our culture here. 

Excited about LogicGate but not familiar with GRC? 

• GRC stands for Governance, Risk, and Compliance
• GRC professionals help their companies manage uncertainty, act with integrity, and stay on the right side of the law. 
• The GRC market is rapidly expanding with continuous growth opportunities. The current market size was valued at $50.5 billion in 2024 and is projected to reach $104.5 billion by 2031.

SUMMARY: Lead the re-platforming and build-out of an internal KVM-based virtualization environment on new UCS hardware in the Ashburn data center. Integrate OpenStack and open-source automation tools to support the migration of workloads from legacy datacenter, ensuring robust, scalable, and automated infrastructure.

HIERARCHY: Will report to the Service Delivery Manager

PRIMARY DUTIES:

• Tear down and rebuild existing ESX-based UCS blade environment, transitioning to KVM virtualization.
• Design and implement an OpenStack platform for internal use, considering open-source alternatives to OpenShift due to current challenges.
• Integrate SAN and NetApp storage solutions into the new platform, ensuring optimal performance and reliability.
• Deploy and configure open-source automation tools (e.g., Ansible) for infrastructure management and orchestration.
• Collaborate with internal staff (including offshore resources) and provide technical leadership and mentorship as needed.
• Work closely with network architects and storage teams to ensure seamless integration and operation.
• Document architecture, configuration, and operational procedures for the new environment.
• Support ongoing platform enhancements and troubleshooting.

COMPENTENCY: 

Required

• Extensive experience with Linux, KVM virtualization, and OpenStack deployment.
• Strong background in UCS hardware, SAN, and NetApp storage integration.
• Proficiency with open-source automation tools (e.g., Ansible).
• Ability to work independently and as part of a distributed team.
• Excellent documentation and communication skills.

Preferred

• Experience with OpenShift and other open-source cloud platforms.
• Prior involvement in large-scale data center migrations and re-platforming projects.
• Familiarity with hybrid cloud environments.

REQUIRED EDUCATION: None

EXPERIENCE:

• 8+years
  
  

LANGUAGE SKILLS: English

PHYSICAL DEMANDS:

• None

WORK ENVIRONMENT: Remote

EXPECTED HOURS OF WORK: 40 hours a week

TRAVEL: None

QUALIFICATIONS:

• Excellent attention to detail
• Strong organizational skills
• Excellent analytical skills
• Excellent documentation skills; demonstrated proficiency in Microsoft Office including Word, Excel and PowerPoint   
• Collaborative team worker – both in person and virtually using MS Teams or similar
• Ability to work as liaison between business and information security / information technology
• Flexibility to accommodate working across different time zones
• Excellent interpersonal communication skills with strong spoken and written English
• Business outcomes mindset
• Solid balance of strategic thinking with detail orientation
• Self-starter, ability to take initiative

#LI-AC1

Responsibilities

• Evaluate and mature the organization’s disaster recovery posture, including recovery objectives (RTO/RPO), dependency mapping, and failure domain analysis across applications, data, and infrastructure.
  
  
• Define, document, and establish disaster recovery standards and best practices across cloud infrastructure, platforms, and application architectures.
  
  
• Partner with SRE, platform, security, and product engineering teams to design and implement resilient, fault-tolerant systems, progressing from backup-based recovery to multi-region and active-active architectures.
  
  
• Lead the disaster recovery roadmap, balancing technical feasibility, cost, risk, and business priorities.
  
  
• Design and recommend reference architectures for disaster recovery patterns, including pilot-light, warm standby, hot standby, and active-active.
  
  
• Drive adoption of active-active disaster recovery for critical systems, including traffic management, data replication, consistency models, and automated failover.
  
  
• Define and operationalize testing strategies for DR, including game days, chaos testing, and regular recovery exercises.
  
  
• Establish clear documentation, runbooks, and escalation paths to ensure recoverability is well understood and not dependent on individuals.
  
  
• Evaluate and recommend platform upgrades, cloud services, and tooling that improve resilience, recovery speed, and reliability.
  
  
• Serve as a technical authority and advisor on disaster recovery and resilience for leadership and engineering teams.
  
  
• Provide architectural guidance, design reviews, and mentorship to engineers implementing DR-related changes.
  
  
• Partner with security and compliance teams to ensure DR strategies meet regulatory, audit, and data protection requirements.
  
  

Desired Experience

• Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
  
  
• 8+ years of experience in cloud infrastructure, platform engineering, SRE, or reliability-focused architecture roles.
  
  

Disaster Recovery & Resilience

• Deep understanding of disaster recovery concepts including RTO/RPO, blast radius reduction, failure domains, and dependency isolation.
  
  
• Proven experience designing and implementing multi-region and multi-availability zone architectures.
  
  
• Hands-on experience moving systems toward active-active or highly available architectures.
  
  
• Strong grasp of data replication strategies, consistency tradeoffs, and recovery patterns for databases and stateful systems.
  
  

Cloud & Platform Engineering

• Extensive experience with major cloud providers (AWS preferred, GCP/Azure acceptable).
  
  
• Strong understanding of managed cloud services and their DR characteristics and limitations.
  
  
• Experience with Kubernetes-based platforms, including regional failover, workload portability, and cluster recovery strategies.
  
  
• Familiarity with global traffic management, DNS, load balancing, and service mesh patterns.
  
  

Automation & Infrastructure as Code

• Experience designing and maintaining Infrastructure as Code using tools such as Terraform, Pulumi, CloudFormation, or Ansible.
  
  
• Strong focus on automation for recovery workflows, failover testing, and environment provisioning.
  
  
• Ability to eliminate manual recovery steps and reduce time-to-recovery through software.
  
  

Operational Excellence

• Experience defining and running DR tests, game days, and failure simulations.
  
  
• Comfortable working across organizational boundaries to influence priorities and standards.
  
  
• Strong documentation and communication skills, with the ability to translate complex technical risk into business impact.

ABOUT THE ROLE

We are looking for an Operational Security Engineer to join our global FinTech organization and help strengthen the security of our people, devices, identities, and business operations.

This role focuses on building and operating practical security controls across the company’s internal environment. You will help secure enterprise platforms, strengthen identity and endpoint posture, assess risks introduced by third-party tools and emerging technologies, support incident response, and improve operational resilience across the organization.

We are looking for someone who is hands-on, analytical, and operationally minded, with strong cybersecurity experience and the ability to think like an adversary. The ideal candidate understands how modern threat actors operate, can apply threat-informed thinking to real-world business environments, and is comfortable working across identity, SaaS, endpoint, and user security.

You will collaborate closely with internal teams such as Productivity & AI Engineering, Cloud Security, and Application Security whenever work spans multiple security domains.

KEY RESPONSIBILITIES

• Operate and continuously improve the security enterprise platforms through effective controls, detections, monitoring, and incident response.
• Configure and manage IAM, access controls, and contextual access policies in line with least-privilege principles and secure access standards.
• Manage and maintain the company’s MDM/EDR capabilities, ensuring endpoint visibility, policy coverage, timely updates, and organization-wide adoption.
• Review new tools, workflows, and third-party integrations, including SaaS, AI tools, MCPs, and plugins—and provide practical security guidance to reduce operational risk while enabling the business.
• Drive and improve the company’s security awareness program, helping users operate safely through practical guidance and support.
• Monitor emerging attacks, vulnerabilities, and threat actor tradecraft, and turn that knowledge into practical defensive improvements across the company.
• Apply adversarial thinking and practical threat modeling to identify realistic attack paths and improve operational resilience across user workflows, enterprise tooling, and internal systems.
• Help define and improve security policies, standards, best practices, and configuration baselines for internal systems and business tooling.

WHAT YOU BRING

• Fluency in English.
• Strong hands-on experience securing and operating enterprise SaaS and cloud platforms.Experience with identity and access management, contextual access controls, and secure administration of business-critical systems.
• Experience operating MDM/EDR and other endpoint security controls.
• Experience responding to security incidents, compromises, and breaches.Advanced cybersecurity experience, including exposure to sophisticated threat actors, knowledge of modern attacker tradecraft, and the ability to apply an adversarial mindset to defensive work.
• Experience conducting practical threat modeling with real operational impact.
• Experience assessing the security of third-party tools, integrations, and emerging technologies introduced into the business.
• Ability to perform open-source threat intelligence activities relevant to current threats and company exposure.
• Strong communication and cross-functional collaboration skills.
• Experience working in Agile environments.

Nice to have

• Experience in FinTech, crypto, or other fast-moving technology environments, with familiarity with blockchain ecosystems and decentralized security challenges.
• Experience with Python and/or JavaScript.
• Experience with on-chain threat monitoring and forensics.
• Experience using AI agents and agentic workflows to improve security operations.

ROOTIES BENEFITS

At RootstockLabs, we don’t just offer a job, we offer a community. Here’s what you can expect when you join us:

• Competitive compensation package and unique benefits designed to support your growth and well-being.
• 100% Remote Work from Europe / Latin America, with access to global CoWorking spaces.
• Work-Life Balance: Paid vacation and sick leave days
• Continuous Learning: Access to training programs, language courses, and learning sponsorship annually.
• Unique Projects: Work with cutting-edge blockchain technology in a global, diverse team.
• Monthly Allowance for Contractors to support your connectivity and well-being.

ABOUT ROOTSTOCKLABS  

RootstockLabs builds Bitcoin-secured DeFi infrastructure that enables companies and financial institutions to offer borrowing, lending, investment, and payment solutions at global scale.

• Market: Companies, financial institutions, and their customers
• Product: Bitcoin-secured DeFi financial products
• Distribution: B2B2C through regulated financial institutions

We operate at the intersection of crypto infrastructure and institutional finance, enabling compliant, scalable access to decentralized financial services powered by Bitcoin.

Engineering at Brex

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

What you’ll do

As a Senior Application Security Engineer, you will focus on finding and responding to security vulnerabilities across the Brex platform. In this role, you will perform code reviews, design reviews, penetration testing, and vulnerability management. You will develop and maintain tooling to perform static and dynamic testing of the Brex platform and tooling which supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform,  IT Infrastructure teams.

We’re looking for individuals with a strong background and interest in penetration testing. You should have a demonstrated ability to find vulnerabilities in complex systems and craft exploits to demonstrate business impact. This role is highly cross functional and collaborative, you will have the opportunity to work with every engineering team across Brex. You should be enthusiastic about working with a variety of backgrounds, roles, and needs. Building a world-class financial service requires world-class security. 

Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. We're at the early stages of integrating AI across our product suite, this role will have the opportunity to influence and secure the future of AI Security at Brex. You'll be at the forefront of securing our novel AI implementations, identifying attack vectors in agentic-powered features, and partnering with product and engineering teams to build AI capabilities that our customers can trust with their critical financial operations.

Responsibilities

• Identifying vulnerabilities, demonstrating business impact, and articulating the risk of specific vulnerabilities to drive prioritization efforts
• Perform penetration testing and design reviews, looking for vulnerabilities and insecure designs, work with engineering and product to design secure product features
• Maintain and build internal tools to automate security efforts, perform SAST and DAST testing of the Brex platform, and support secure development practices
• Build and contribute to a culture of collaborative security excellence through technical leadership, learning sessions, and mentorship within the team and wider organization

Requirements

• 5+ years work experience in an Application Security or related role
• Ability to find vulnerabilities in complex systems, demonstrating business impact through custom attack chains
• Experience with a wide range of secure development activities including— threat modeling, developer education, and incident response
• Knowledge of Python, scripting languages, and AI/agentic workflows to automate tasks, build tools and improve productivity
• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Proficiency with Kotlin, gRPC, GraphQL, Kubernetes
• Previous experience as a software engineer
• Consultancy experience performing web application security reviews
• Experience with securing distributed systems in AWS and cloud environments
• Experience with pentesting and securing agentic features and systems
• Contributions to the wider technical community— open source, public research, mentorship, community organizing, blogging, CVEs, presentations, etc
• Experience submitting to bug bounty programs or responsible disclosure programs

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

In the time it takes you to read this job description, RapidSOS will have handled ~1,380 emergencies.

At RapidSOS, we are committed to using technology to build a safer, stronger future and working together to save lives. We’re in an exciting phase of growth, welcoming new members from across the globe to our mission-driven, ambitious, and inclusive team. Our work is founded on our values of elevating purpose, inventing tomorrow, delivering with urgency, serving with integrity, and winning together, all of which support a company culture where people can innovate, collaborate, grow, and, above all, make an impact. 

RapidSOS is ​​the leading public safety AI company that unlocks mission-critical intelligence for first responders and security teams – enabling faster, smarter and more accurate emergency response. Real-time data from the world’s largest safety network of 700M+ devices, 200+ global enterprises, and 23,000+ federal, state and local agencies fuels the RapidSOS HARMONY AI engine that delivers this intelligence to those who need it most. Learn more at www.RapidSOS.com.

What this role is about:
As a Senior Technical Account Manager (Sr. TAM) at RapidSOS, you will serve as the lead technical partner for our most complex and high-value enterprise customers. In this senior capacity, you will not only ensure the reliability and performance of critical systems but also act as a strategic consultant, mentoring junior team members and driving the technical evolution of our largest partnerships.

You will operate at the highest level of technical customer operations, telephony, and engineering, serving as a subject matter expert who guides enterprise organizations through ongoing operations with our technical teams.  Additionally for new accounts you’ll have to navigate architectural changes and large-scale platform migrations. If you are a seasoned technical professional who excels in high-stakes environments and possesses a deep-seated drive to improve the technology supporting emergency response, this role offers the opportunity to make a massive impact on global safety.

What you’ll do: 

• Lead the technical strategy for a growing premier portfolio of monitoring company customers, acting as their most senior trusted advisor and executive escalation point.
• Architect and oversee the design of enterprise-grade call flows, including advanced telephony routing, complex failover strategies, and custom integration patterns.
• Proactively audit system performance across the enterprise, identifying systemic risks and driving large-scale improvements to reliability, latency, and call success rates.
• Direct high-severity incident response coordination, conducting deep-dive root cause analysis and ensuring long-term remediation strategies are implemented across the customer base.
• Synthesize complex customer requirements into high-level strategic feedback for product and engineering leadership to help define the long-term platform roadmap.
• Orchestrate complex platform migrations and global feature rollouts, ensuring zero-downtime transitions for mission-critical services.
• Collaborate cross-functionally with leadership in engineering, product, and operations to refine the customer experience and internal support workflows.
• Establish and evangelize best practices regarding redundancy, monitoring, and massive-scale handling for real-world emergency spikes.
• Mentor junior Technical Account Managers, providing guidance on technical troubleshooting and relationship management.
• Analyze macro-level metrics and trends to drive continuous service improvement and business reviews with customer stakeholders

What we’re looking for in our ideal candidate: 

• 8+ years in a Technical Account Manager, Solutions Engineer, or similar senior technical role supporting large-scale enterprise customers. 
• Expert-level experience working with APIs, complex distributed systems, and cloud-based platforms. 
• A proven track record in environments where high uptime, low latency, and extreme reliability are non-negotiable. 
• Mastery in incident management, maintaining total composure under extreme pressure to drive rapid resolution during live emergencies. 
• Exceptional architectural vision, with the ability to map end-to-end workflows across vast networks of vendors and failure points. 
• Superior communication skills, capable of translating deep technical complexities into strategic insights for C-suite stakeholders. 
• High degree of autonomy and ownership, with the ability to prioritize high-impact tasks in a fast-moving, mission-critical environment. 
• Data-driven mindset, leveraging advanced analytics to guide technical decisions and recommendations. 
• Willingness to travel up to 10%

Nice-to-have experience (but not required!):

• Industry Expertise: Prior experience in the Personal Emergency Response Systems (PERS) space or the broader HealthTech/Remote Patient Monitoring industry. 
  Expertise in telephony concepts such as SIP, global call routing, and VoIP concurrency. 
• Extensive experience with Public Safety technology, medical alert systems, or high-volume contact centers. 
• Advanced knowledge of SRE (Site Reliability Engineering) practices, SLOs, and error budget management. 
• Experience managing complex, multi-party integrations in production-grade environments.

What we offer: 

• The chance to work with a passionate team on solving one of the largest challenges globally 
• Competitive salary and benefits and equity participation 
• A dynamic, flexible and fun start-up work environment with a highly talented team

If you're curious to learn more about RapidSOS, you can check out https://rapidsos.com/blog/ 

Starting pay for a successful applicant will depend on a variety of job-related factors, which may include experience, relevant skills, training, education, location, business needs, or market demands. The salary range for this role is $150,000 - $180,000. This role will also be eligible to receive equity options. #LI-Remote

RapidSOS is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. 

Engineering at Brex

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

What you’ll do

As an Application Security Engineer, you will contribute to finding and responding to security vulnerabilities across the Brex platform. In this role, you will participate in code reviews, design reviews, penetration testing, and vulnerability management. You will contribute to tooling that performs static and dynamic testing of the Brex platform and supports secure developer workflows. Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, and IT Infrastructure teams.

We're looking for individuals with a solid foundation in penetration testing and a curiosity for finding vulnerabilities in complex systems. You should have experience identifying and documenting vulnerabilities across common vulnerability classes and be able to communicate their risk clearly to engineering and product teams. This role is highly cross-functional — you'll have the opportunity to collaborate with engineering teams across Brex and grow your security expertise in a fast-moving environment.

Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic. As we integrate AI across our product suite, this role will give you hands-on experience contributing to AI security at Brex. You'll apply emerging AI security best practices to help secure our agentic features, identify attack surfaces introduced by LLM-powered systems, and partner with product and engineering teams to build AI capabilities our customers can trust with their critical financial operations.

Responsibilities

• Identify vulnerabilities across common vulnerability classes (e.g., OWASP Top 10), document findings clearly, and communicate risk to drive remediation efforts
• Participate in penetration testing and design reviews alongside senior engineers, contributing to the identification of vulnerabilities and insecure designs
• Contribute to internal tooling and automation efforts that support SAST and DAST testing of the Brex platform and promote secure development practices
• Collaborate with engineering and product teams to support the design of secure product features
• Actively contribute to a culture of security awareness through knowledge sharing and peer learning

Requirements

• 4+ years of work experience in Application Security or a related role
• Demonstrated ability to find and document vulnerabilities in complex systems, with clear communication of business risk
• Hands-on experience with a subset of secure development activities, such as code review, threat modeling, or penetration testing
• Experience identifying security risks in AI/ML systems — such as prompt injection, model manipulation, or data poisoning — through work experience, personal projects, CTFs, or bug bounties
• Familiarity with agentic workflows and the ability to reason about attack surfaces introduced by LLM-powered features
• Knowledge of Python or scripting languages to automate tasks and build tooling
• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Experience with Kotlin, gRPC, GraphQL, Kubernetes
• Previous experience as a software engineer
• Experience with securing distributed systems in AWS and cloud environments
• Experience with web application security reviews
• Contributions to the wider technical community — open source, public research, CTF participation, blogging, CVEs, or presentations
• Experience submitting to bug bounty or responsible disclosure programs
• Published AI security research or contributions to AI security frameworks

Compensation

The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About the Role

fal is seeking a highly skilled Technical Support Engineer to provide high-quality support and service to our Customer base and Internal teams. You will play a critical role in providing advanced support directly to our Customers, and collaborating with engineering and Sales teams to enhance our products and services.

Key Responsibilities

• Resolve technical issues and provide advanced support directly to customers, including support for fal’s platform (APIs, UI issues, and troubleshooting errors).
• Support users across multiple products via email, chat, and Slack.
• Troubleshoot integration issues, including authentication problems (OAuth, API keys), HTTP errors, malformed requests, rate limits, and API misconfigurations.
• Analyze API logs, error messages, and request/response payloads to identify root causes.
• Manage support tickets by responding within SLA timeframes, escalating complex issues appropriately, and maintaining detailed case records.
• Reproduce, escalate, and document bugs or edge cases in collaboration with engineering.
• Provide structured feedback to engineering teams regarding platform reliability, performance bottlenecks, and customer-reported issues, serving as an internal advocate for customer pain points and product improvement.
• Assist with testing and validation of new features, releases, and infrastructure changes before production deployment.
• Write and maintain technical content, including use case guides, how-to examples, FAQs, solutions for common errors, and documentation of issues and resolutions for the knowledge base.
• Improve developer documentation to make integration as self-serve as possible.

What You Bring

• Strong analytical thinking, technical problem-solving skills, and a systematic approach to troubleshooting technical issues across web platforms, cloud environments, and enterprise software.
• Experience supporting and troubleshooting REST APIs and backend services, including working directly with REST APIs and authentication flows (OAuth2, API keys).
• Experience using monitoring, logging, and observability tools to support production systems.
• Familiarity with AI platforms, machine learning systems, or data-intensive applications.
• Excellent written and verbal communication and interpersonal skills, with the ability to clearly and empathetically explain complex technical concepts to both technical and non-technical stakeholders/users in English.
• Experience providing technical support with a customer-first mindset, demonstrating patience, empathy, and a focus on user success.
• Strong technical writing abilities with experience creating and maintaining user guides, FAQs, and troubleshooting documentation.
• Demonstrated ability to prioritize effectively, respond quickly to critical issues with a sense of urgency, and maintain composure under pressure.
• Ability to work independently and collaboratively, handling multiple concurrent support cases while maintaining quality and meeting response time commitments.
• Self-starter who can identify process improvements and proactively address recurring issues (Initiative).
• Familiarity with tools such as Slack, Linear, Notion, and GitHub.
• Familiarity with authentication protocols like REST APIs, OAuth2, JWT, and API key auth.

Why fal

At fal, you’ll join a rapidly scaling company defining how AI moves from experimentation to production. This is an opportunity to shape the future of enterprise AI adoption while building deep relationships with customers who are transforming their industries through intelligent technology.

What we offer at fal

• Interesting and challenging work
• Competitive salary and equity
• A lot of learning and growth opportunities
• Regular team events and offsites

Why this role exists:

We are growing our AI team and are looking for a Senior AI / Generative AI Engineer to build and operate production-grade LLM-based systems across the platform.

This role focuses on applied Generative AI: internal AI automation, chatbots, AI assistants, and MCP-based services already used in production. You will work on top of an existing ML and data platform, building systems that are reliable, maintainable, and practical to operate.

This is a hands-on engineering role with end-to-end ownership. Not research. Not prompt-only.

What you’ll drive:

Technical Ownership

• Own LLM-based systems from design to production support.
• Design architectures for Generative AI systems (RAG, agents, tool/context serving).
• Make clear trade-offs between quality, latency, cost, and complexity.
• Set engineering standards for building and operating AI systems in production.
• Act as a technical reference point for applied GenAI.

Hands-on AI Engineering

• Build and maintain production LLM-powered systems.
• Develop chatbots and AI assistants with predictable behavior.
• Design and implement RAG pipelines (ingestion, embeddings, retrieval, generation).
• Implement agent-style workflows with tool/function calling.
• Build and integrate MCP servers or similar context/tool-serving components.
• Integrate AI systems with backend services and ML infrastructure.

Production & Reliability

• Design evaluation frameworks for LLM outputs.
• Monitor LLM behavior, system health, and costs in production.
• Address performance, scalability, and operational issues.
• Handle production incidents and contribute to long-term fixes.
• Design systems with failure modes, fallbacks, and graceful degradation.

What makes you a GR8 fit

Must-have

• Strong software engineering background.
• Proven experience building LLM-based systems in production.
• Hands-on experience with: LLMs and RAG architectures, Chatbots or conversational AI systems, Tool/function calling and agent-style patterns.
• Experience with context or tool-serving systems (MCP or similar).
• Experience integrating AI into real-time production products.
• Understanding of performance, scalability, and cost trade-offs.
• Cloud experience (preferably AWS).
• Strong engineering fundamentals (testing, debugging, reviews, observability).

Nice-to-have

• Multi-agent or workflow-based systems.
• Fine-tuning or adapting open-source LLMs.
• ML platforms / MLOps background.
• Experience operating latency- or cost-sensitive systems.
• Production incident ownership in AI systems.

Tech Stack:

• Languages: Python, SQL.
• LLMs: Amazon Bedrock, OpenAI, Anthropic, open-source models.
• Frameworks: LangChain, LangGraph, Pydantic, Langfuse.
• RAG: Embeddings, Qdrant / FAISS / OpenSearch / pgvector.
• Cloud: AWS (ECS / EKS / Lambda, S3, OpenSearch).
• DevOps: Docker, Git, CI/CD.

In this role, you’ll be responsible for developing microservices in a distributed deployment environment with an emphasis on containerisation with Docker and K8S. You won’t just be writing simple CRUD applications, but instead will be working on the core logic of complex systems that are accessed millions of times a day. We wrote our system from scratch about 3 years ago, so you’ll be working with the latest technology and won’t have to worry about decades old legacy code.A willingness to work in Springboot is fine - as long as you are willing to learn and have demonstrable experience in an object-oriented programming language.

• Language: Java 17Frameworks: Spring Boot (Tomcat, Netty), Spring Data, Spring Cloud
• Architecture: Microservices, REST API, Message Queues
• Database: MySQL, MyBatis, ShardingSphere, MongoDB
• Caching: Redis (AWS ElastiCache), ElasticSearch
• Message Queue: RocketMQCloud: Docker, Kubernetes, AWS
• Monitoring: Grafana, Prometheus, Loki, Tempo, AWS CloudWatch 

• Sporty is a remote first company in pursuit of sustainability
• A competitive salary + individual performance based bonuses every quarter
• 28 days paid annual leave
• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
• Referral bonuses & flash bonuses
• Top of the line equipment
• Annual company retreats to provide great internal networking opportunities

Interview Process

• Remote video screening with our Talent Acquisition Team
• Offline Take home assignment
• Remote video interview with Team Members (60 Mins)
• Final discussion with the hiring manager (60 mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

POSITION SUMMARY

CIQ is seeking a highly experienced Senior or Principal AI Engineer to own and drive AI/ML innovation across our product portfolio. This role sits at the intersection of AI engineering and systems performance - the right candidate brings deep expertise in model inference optimization, training workflows, and production AI deployment, combined with a strong instinct for performance at the systems level.

In this role, you will be the AI engineering standard-bearer at CIQ. You will design and build turnkey AI workload examples - both internal reference pipelines and customer-facing solutions - ensuring that CIQ’s AI story is always compelling, practical, and demonstrably best-in-class. You will integrate deeply with Fuzzball, CIQ’s cloud-native computing platform, running AI workloads end-to-end through it and helping customers do the same.

KEY RESPONSIBILITIES

This role is leveled as Senior or Principal based on qualifications and demonstrated capabilities.

AI Inference Optimization

• Design, implement, and tune inference pipelines for large language models and other AI workloads, targeting maximum throughput and minimum latency.
• Apply state-of-the-art optimization techniques: quantization (INT4/INT8/FP8), model pruning, speculative decoding, continuous batching, and kernel fusion.
• Optimize inference-serving stacks, including vLLM, TensorRT-LLM, ONNX Runtime, and similar frameworks, for production deployment on CIQ’s OS platform.
• Profile and tune GPU/accelerator utilization across the full inference stack, from model weights and memory bandwidth to CUDA kernels and driver overhead.
• Establish inference performance baselines and regression detection across CIQ’s AI-focused solutions.

AI Training Workflows

• Design and optimize distributed training pipelines for large-scale models, including data, model, tensor, and pipeline parallelism strategies.
• Tune training efficiency through mixed-precision training, gradient checkpointing, activation recomputation, and optimizer-level improvements.
• Benchmark training throughput and scaling efficiency across multi-GPU and multi-node configurations on CIQ’s infrastructure.
• Collaborate with infrastructure and performance teams to resolve training bottlenecks at the network (RDMA/InfiniBand), storage, and OS layers.
• Stay current on frontier model architectures and training techniques, including MoE models, RLHF pipelines, and emerging post-training methods.

Turn-Key AI Examples & Reference Workloads

• Build and maintain a library of turn-key AI workload examples that run on CIQ’s platform, covering inference serving, fine-tuning, batch processing, RAG pipelines, and agentic workflows.
• Develop both internal reference pipelines for CI/testing and customer-facing examples designed for immediate productivity on CIQ’s OS and Fuzzball.
• Package workloads using containers to deliver portable, reproducible AI environments across HPC and cloud-native settings.
• Create compelling, well-documented demos and reference architectures that communicate CIQ’s AI capabilities to technical and business audiences alike.
• Partner with product and customer success teams to translate real-world AI use cases into reusable, production-quality examples.

AI Engineering & Tooling

• Build and maintain AI-powered engineering tooling - leveraging LLM-based agents, automated analysis pipelines, and AI-assisted code generation to accelerate the broader engineering organization.
• Champion an AI-first development culture: identify opportunities where AI tooling can reduce toil, surface insights faster, and improve software quality across CIQ’s products.
• Evaluate and integrate emerging AI frameworks, libraries, and hardware as they become relevant to CIQ’s customers and product roadmap.
• Contribute to open-source AI tooling and frameworks where relevant, reinforcing CIQ’s technical reputation in the community.

Fuzzball Integration

• Develop deep expertise in CIQ’s Fuzzball platform, its architecture, scheduling model, and workload execution environment.
• Integrate AI training, inference, and pipeline workloads into Fuzzball-based CI/CD and production pipelines.
• Contribute to Fuzzball’s AI workload story: ensure the platform is a first-class environment for running AI workloads efficiently and at scale.
• Help characterize and improve Fuzzball’s performance for AI-specific access patterns and resource demands.

Cross-Functional Collaboration

• Develop broad familiarity with the full CIQ product portfolio, including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer, and Warewulf, and understand how AI workloads interact with each layer.
• Collaborate closely with the Performance Engineering team to ensure AI workloads benefit from and contribute to CIQ’s systems-level optimization work.
• Partner with product and customer success teams to translate real-world AI pain points into engineering priorities and measurable outcomes.
• Document and communicate findings clearly, from low-level profiling data to executive-level summaries.
• Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ’s reputation as an AI-forward infrastructure company.

NEEDED TO SUCCEED

Successful candidates will have: 

• Deep, hands-on expertise in LLM inference optimization: including serving frameworks (vLLM, TensorRT-LLM, ONNX Runtime), quantization techniques, and GPU memory management.
• Strong background in distributed AI training, including frameworks such as PyTorch FSDP, DeepSpeed, Megatron-LM, or JAX/XLA.
• Proven experience building production AI pipelines and packaging AI environments for reproducible, portable deployment (containers, Apptainer/Singularity, or equivalent).
• Fluency with GPU/accelerator profiling tools: NVIDIA Nsight, PyTorch Profiler, CUDA performance analysis, and related tooling.
• Familiarity with HPC environments: job schedulers (Slurm, PBS), parallel filesystems, RDMA/InfiniBand, and MPI,  and the intersection of HPC with modern AI workloads.
• Experience integrating AI workloads into CI/CD pipelines and building automated testing and benchmarking frameworks.
• Comfort using and building with LLM-based tools and agentic frameworks to accelerate engineering work.
• Excellent analytical skills and able to form hypotheses, design experiments, and draw actionable conclusions from complex profiling data.
• Strong written and verbal communication skills; able to present findings to both deeply technical audiences and business stakeholders.
• A collaborative, humble, and always-learning mindset, combined with the confidence to champion AI engineering as a first-class concern.

EDUCATION AND EXPERIENCE

• PhD in Computer Science, Machine Learning, Computer Engineering, or a related field strongly preferred; equivalent industry experience considered.
• 10+ years of industry experience in AI/ML engineering, systems software, or a closely related discipline.
• Demonstrated track record of measurable, published, or production-deployed AI performance improvements at scale.
• Experience working in or with open-source AI ecosystems (PyTorch, Triton, ONNX, Hugging Face, etc.) is a strong plus.
• Background with cloud-native, containerized, and/or HPC computing environments preferred.

CIQ is seeking a highly experienced Senior or Principal Performance Engineer to own and drive system-level and application-level performance across our product portfolio. This is an AI-first role, both in methodology and focus area,  and the right candidate will bring deep expertise in operating system internals, kernel and userspace performance, and the performance demands of modern AI workloads, HPC environments, general-purpose computing, and production service workloads.

In this role, you will be the standard-bearer for performance at CIQ. Our performance-focused solutions must always be the fastest in the industry, and you will be responsible for ensuring that remains true. You will be intimately involved with Fuzzball, CIQ's cloud-native computing platform, learning its architecture end-to-end and integrating workloads - both user-facing and CI/testing pipelines - directly through it.

Position Summary

This role is leveled as Senior or Principal based on qualifications and demonstrated capabilities.

Benchmarking & Profiling

• Design, develop, and maintain comprehensive benchmarking frameworks spanning OS, kernel, and application layers.
• Profile workloads across CPU, memory, I/O, network, and accelerator (GPU/NPU) subsystems to identify bottlenecks and optimization opportunities.
• Establish and own performance baselines across CIQ's product and solutions portfolio.
• Leverage AI-assisted tooling and agentic workflows to accelerate profiling, analysis, and root cause identification.

Regression Detection & Resolution

• Build and maintain automated performance regression-detection pipelines integrated into CI/CD workflows using Fuzzball.
• Identify, triage, and resolve regressions across user space, kernel space, and application layers with urgency and rigor.
• Collaborate across engineering teams to root-cause regressions introduced by upstream kernel changes, compiler updates, or library modifications.

Proactive Performance Engineering

• Drive proactive performance improvements - not just reactive fixes - to keep CIQ solutions ahead of the competition across every layer of the stack.
• Own core operating system performance: kernel subsystem tuning (scheduler, memory management, I/O, networking), system call overhead reduction, and user space library and runtime optimizations.
• Identify and implement kernel-level enhancements, including patches, configuration changes, and upstream contributions that yield measurable performance gains for CIQ's customer workloads.
• Optimize for AI inference and training workloads, including LLM serving, model parallelism, and accelerator utilization.
• Tune performance for HPC workloads, including modeling, simulation, and tightly coupled parallel applications (MPI, OpenMP, etc.).
• Optimize general computing and service workloads - web services, databases, messaging systems, and other production software that runs on CIQ's OS platform.
• Work at all levels of the stack: compiler flags, kernel parameters, scheduler tuning, NUMA topology, memory allocation, and application-level algorithmic improvements.

AI-First Approach

• Champion an AI-first engineering philosophy - use AI tools, agents, and automation to accelerate your own productivity and the quality of performance insights.
• Identify and prioritize optimization opportunities that directly impact AI training throughput and inference latency/cost.
• Stay current on state-of-the-art techniques in ML system performance, including quantization, batching strategies, kernel fusion, and hardware-software co-design.

Fuzzball Integration

• Develop deep expertise in CIQ's Fuzzball platform - its architecture, scheduling, and workload execution model.
• Integrate performance benchmarks, regression tests, and user-facing workloads into Fuzzball-based pipelines.
• Contribute to the performance characterization of Fuzzball itself, ensuring the platform adds minimal overhead and scales efficiently.

Cross-Functional Collaboration

• Develop broad familiarity with the full CIQ product portfolio — including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer (formerly Singularity), and Warewulf - understanding how performance considerations span and interconnect across each.
• Collaborate deeply with the engineering teams behind each product line to surface, prioritize, and deliver performance improvements that benefit customers across the entire CIQ ecosystem.
• Partner with product and customer success teams to translate real-world performance pain points into engineering priorities and measurable outcomes.
• Document and communicate findings clearly - from low-level profiling data to executive-level summaries.
• Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ's reputation for performance excellence.

NEEDED TO SUCCEED

Successful candidates will have:

• A deep, principled understanding of operating system internals -  Linux kernel scheduler, memory subsystem, I/O stack, and networking.
• Proven experience identifying and resolving performance regressions across kernel and user space in production environments.
• Hands-on expertise with profiling and tracing tools: perf, eBPF/bpftrace, Flamegraphs, VTune, Nsight, strace, ftrace, and similar.
• Strong background in AI/ML workload performance - including inference optimization (TensorRT, ONNX, vLLM, or similar), training efficiency, and GPU/accelerator utilization.
• Experience with HPC workloads: MPI, OpenMP, parallel filesystems, RDMA/InfiniBand, and job schedulers (Slurm, PBS, etc.).
• Familiarity with modern AI-first development workflows and comfort using LLM-based tools to accelerate engineering work.
• Experience building automated performance testing and regression detection pipelines in CI/CD environments.
• Excellent analytical skills -  able to form hypotheses, design experiments, and draw actionable conclusions from complex data.
• Strong written and verbal communication skills; able to present findings to both deeply technical audiences and business stakeholders.
• A collaborative, humble, and always-learning mindset -  combined with the confidence to champion performance as a first-class engineering concern.

EDUCATION AND EXPERIENCE

• PhD in Computer Science, Computer Engineering, or a related field strongly preferred; equivalent industry experience considered.
• 15+ years of industry experience in systems performance engineering, OS development, or a closely related discipline.
• Demonstrated track record of measurable, published, or production-deployed performance improvements at scale.
• Experience working in or with open-source ecosystems (Linux kernel contributions, upstream community engagement) is a strong plus.
• Background with cloud-native, containerized, and/or HPC computing environments preferred.

WordPress VIP is the world’s leading enterprise content management platform. We help the world's largest companies (including Meta, Salesforce, and Disney) create innovative digital experiences with WordPress.

We’re looking for a Solutions Engineer to provide technical leadership to our Enterprise sales team, where you'll play a key part in building and maintaining the structure to support our sales programs. You’ll define and implement scalable processes and systems that deliver technical expertise, with a focus on consultative solution-based selling.

Responsibilities:

Partnering proactively with Sales and Customer Success to qualify new business opportunities in terms of technical requirements, competitive landscape, and business drivers.

• Identifying and solving customer problems proactively and creatively through effective project management and consultation on technical setup.
• Building proofs of concept and leading the demo process—including building, running, and training the team based on our buyer personas, verticals, and business priorities.
• Contributing to the RFP/RFI process as the primary point person on technical responses that Account Executives need assistance with.
• Recommending the integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on our Cloud.

Requirements: 

• 5+ years experience in a Solutions Engineer or related position with customer-facing experience translating customer technical requirements into value discussions.
• Understanding of enterprise business models, content distribution, audience engagement and enterprise focused technical solutions.
• Experience with WordPress, PHP, or consulting experience.
• Demonstrated experience building Proofs of Concept and leading demo presentations.
• Worked closely with Account Executive teams developing solutions on complex sales opportunities.
• Outstanding communication; you should be great at holding people’s attention whether presenting, talking on the phone, or writing a quick blog post.

We are currently prioritizing candidates in the United States and Canada.

Salary range: $150,000-$200,000 USD plus variable compensation - Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated for the right candidate.

This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page. And check out these links to learn more about How We Hire and What We Expect from Ourselves. #LI-DNI

Job Summary

We are seeking a highly skilled Senior Azure Infrastructure Engineer to design, implement, and manage secure, scalable, and resilient Azure cloud environments. This role has a strong focus on Disaster Recovery (DR) and business continuity for critical workloads.

You will lead the design and execution of DR strategies, ensuring alignment with enterprise standards and industry best practices. The ideal candidate brings deep Azure expertise, strong automation skills, and a commitment to operational excellence.

Key Responsibilities

Azure Infrastructure & Cloud Engineering

• Design and implement Azure infrastructure solutions including compute, storage, networking, and security
• Lead Azure Landing Zone design and implementation aligned with enterprise architecture
• Optimize infrastructure for performance, availability, scalability, and cost
• Ensure alignment with Microsoft Well-Architected Framework

Disaster Recovery & Business Continuity

• Architect and implement DR solutions using Azure Site Recovery (ASR) and Azure Backup
• Define and manage RTO/RPO objectives, failover/failback strategies, and DR test plans
• Configure cross-region replication and traffic routing using Azure Traffic Manager and Front Door
• Automate DR processes, runbooks, and recovery workflows
• Conduct DR drills and continuously improve recovery readiness

Infrastructure as Code & Automation

• Develop and maintain Infrastructure as Code (IaC) using Bicep, ARM templates, and Terraform
• Automate deployments and operations using PowerShell scripting, Azure CLI, and DevOps pipelines
• Collaborate with DevOps teams to implement CI/CD pipelines and environment automation

Security, Compliance & Governance

• Implement governance using Azure Policy, Blueprints, and RBAC
• Ensure compliance with regulatory standards and security best practices
• Manage identity and access using Azure AD, MFA, and hybrid identity solutions
• Perform security audits and vulnerability assessments

Monitoring & Operational Excellence

• Implement monitoring and alerting using Azure Monitor and Log Analytics
• Lead incident response, troubleshooting, and Root Cause Analysis (RCA)
• Participate in on-call rotations and provide escalation support during critical incidents
• Maintain documentation, runbooks, and knowledge base

Mandatory Skills

• Azure Core Infrastructure (Landing Zone design & implementation)
• Disaster Recovery using Azure Site Recovery (ASR)
• Infrastructure as Code (IaC): Bicep, ARM, Terraform
• PowerShell scripting
• Strong experience in Azure networking, security, and monitoring

Required Qualifications

Experience

• 5+ years of experience in Azure infrastructure engineering
• Minimum 2+ years focused on Disaster Recovery / ASR solutions

Education

Bachelor’s degree in Computer Science, IT, or related field (or equivalent experience)

Certifications

• CJIS Certification (mandatory; must obtain if not already certified)
• Microsoft Certified: Azure Solutions Architect Expert (preferred)

Preferred Skills

• Experience with hybrid cloud DR (on-premises to Azure)
• Hands-on with Azure DevOps and CI/CD pipelines
• Experience with Azure Backup, Traffic Manager, Front Door
• Knowledge of automation accounts and observability tools

Soft Skills

• Strong problem-solving and troubleshooting skills
• Excellent communication and documentation abilities
• Ability to work independently and in a global team environment
• Proactive mindset with focus on reliability and security

#LI-US1

HYPR, the Identity Assurance Company, helps organizations create trust in the identity lifecycle.  We are a community of bold thinkers and energetic doers who imagined a brand new approach to identity security and, at the same time, are eliminating a pervasive and persistent 60-year old problem – the password. Since being founded in 2014, the company has grown to be the premium provider of authentication security to marquee brands around the globe and are quickly becoming the recognized leader in Identity Assurance. We are looking for exceptional people with the ambition and the will to positively change the world. If that sounds like you, join us on our mission to create a passwordless world and secure the identity lifecycle.

Your Role and Impact 

HYPR is looking for a Senior Software Engineer who cares deeply about building secure, high-quality software—and wants to work on problems that actually matter.

We are a great home for people who are intrinsically motivated—proud of their craft and excited to build with a high-bar team that expects great work and supports you.

You’ll design, build, and operate core components of HYPR’s security platform, used by Fortune 500 companies:

• Passwordless authentication and identity verification systems built on open standards
• W3C-compliant authentication servers and large-scale distributed systems
• Security-focused infrastructure and application workflows
• Emerging capabilities at the intersection of cybersecurity and AI

“If you're passionate about cyber security, scalable architectures, and impactful engineering, HYPR will be a great fit for you.”

What you will do in this role

• Design, develop and deploy SaaS services end-to-end—from understanding requirements and designing solutions to deployment, production support, scalability and performance
• Be on the fore front of AI-native SDLC by using agents throughout design, coding, testing, and documentation
• Research new technologies and solutions to improve existing products and explore new directions
• Implement comprehensive automated testing at the component level and collaborate with SDET(s)
• Participate in standards bodies and shape next-generation standards like W3C, WebAuthn, and OAuth
• Work directly with customers - product calls to understand the problems and an on-call rotation of incident escalation

Who you are

• Self-starter—able to dive into an existing product and learn quickly in a fast, hands-on environment
• Team player—collaboration with team members, operations, and support teams is critical
• Detail-oriented—takes pride in writing high-quality, maintainable code and following best practices
• Security-minded—interested in the cybersecurity domain; previous exposure or participation is a plus
• Autonomous and accountable—takes ownership of work and drives it to completion; actively assists in the production support aspects of your work as needed

Required Qualifications

Expert-Level

• Java SE 21+ and Spring/Quarkus
• Kubernetes or another container orchestration platform
• Cloud-first development experience—AWS, Azure, or similar
• Datastores, one or more of: MySQL, Oracle, DynamoDB, Redshift, Redis

Strong

• CS algorithms, data structures, clean code, and scalability design patterns
• Scalable services—multi-region, graceful degradation, and elastic capacity
• One major JS framework—Angular, React, or Vue
• Observability techniques and tools—events, metrics, OpenTelemetry
• Continuous deployment methodologies—unit, acceptance, and load testing approaches
• Kotlin development experience

Preferred

• Authentication protocol knowledge is highly valued—OAuth, SAML, WebAuthn, PKI, Kerberos, FIDO/FIDO2
• Keycloak, Ping or Okta authentication server
• One Infrastructure as Code (IaC) tool—Terraform, Helm, AWS CloudFormation
• Dynamically typed language—Python, Ruby, or similar

Experience

10+ years of experience designing, building, and maintaining an enterprise web-based platform that services at least 100K users. Can be SaaS or on-premise

Education

BS/MS in computer science or a related software engineering field.

What HYPR Offers

• Long-Term stability within a high-growth sector within identity access automation.
• Majority of HYPR engineers are Senior; you’re joining a team of all-stars who consistently deliver the highest quality code and products on tight timelines.
• Strong support for work–life balance, with flexibility to meet family and personal responsibilities. We offer a generous amount of PTO and wellness days.
• Emphasis on collaboration, with paid weekly team lunches in office (some variations by country).
• Employer-paid supplemental medical coverage (some variations by country).
• Paid access to leading industry conferences and opportunities to participate in standards bodies, including FIDO and OAUTH.
• Extreme product focus with high levels of ownership and autonomy—you’ll work on cutting-edge, high-impact problems, bringing together your own insights to drive meaningful outcomes

Full Time Opportunity: Yes

Remote: Yes

As the premium provider of authentication security, HYPR is committed to preventing identity fraud by safely and accurately verifying the identities of our employees. Accordingly, all new employees are required to participate in an automated identity verification process, which includes document verification, location detection, and facial recognition, on their first day of employment with the Company.  To learn more about this identity verification process,  please contact peopleops@hypr.com.

What You'll Be Doing:

• Work directly on building, deploying, and iterating on machine learning models and agentic workflow features that address real customer needs
• Apply ML techniques to improve accuracy and overall system performance, ensuring solutions are robust, reliable, and production-ready for customers
• Improve, implement, and validate ML models and agentic workflows supporting submission intake, underwriting decision-making, and automation tasks
• Deploy and adapt autonomous agent behaviors into customer-specific workflows, translating core AI capabilities into practical solutions
• Develop and maintain evaluation pipelines, monitoring systems, and performance metrics to ensure reliability under evolving production conditions
• Monitor production systems via logs, metrics, and user feedback to diagnose issues, debug failures, and drive resolution
• Take end-to-end ownership of problems — implementing fixes or coordinating with engineering and infrastructure teams as needed
• Partner closely with Data Science and Engineering teams to iterate quickly and deliver high-impact solutions

Who We Hope You Are:

• Bachelor's or master’s degree in Mathematics, Operations Research, Data Science, Artificial Intelligence, or a related field with foundational knowledge in machine learning, deep learning, and natural language processing.
• Experience working in a fast-paced, cross-functional environment
• 2+ years of experience as a Machine Learning Engineer, Applied Scientist, or similar role delivering ML solutions in production
• Experience working directly with customers or stakeholders to translate business needs into technical solutions
• Hands-on experience adapting, extending, and deploying ML/LLM systems (including agentic workflows and prompt engineering) in real-world use cases
• Strong experience with experimentation, evaluation, and monitoring pipelines, including analyzing production logs and debugging systems
• Experience deploying and iterating on ML systems in cloud environments in collaboration with engineering teams
• Proven track record of ownership — driving issues through to resolution in production systems

Base Salary Range: $155,000 - $180,000
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package also includes bonus, stock options, benefits and additional perks. 

Hours & location

🌎 We hire almost anywhere in the world and we don’t have a location requirement for this role. However, the expected working hours for this position is 9:00am - 5:00pm EST.

Why this job is exciting 

As part of the Technical Success organization, Support Engineering  is at the forefront of the customer experience. Our customers simply wouldn’t be successful, happy, long term customers without the important work this team does! Support Engineering exists to not only resolve technical issues but educate our customers by answering reactive questions, and by importantly identifying improvements we can make to help improve the product. Our customers are developers and we help them throughout their customer journey. 

📅 Within one month you will…

• Learn about our product, our value propositions, our customers, our team, and our practices.
• Learn how Sourcegraph is deployed (e.g., Kubernetes, scaling, and more), product configuration and integrations, our code base, and common user needs.
• Meet for an initial chat with the teammates you will work with most
• Start working with customers to troubleshoot and solve reported issues (with lots of support and help from your team).

📅 Within three months you will…

• Work with customers to troubleshoot and solve reported issues
• Contribute to improving our product and handbook documentation

📅 Within six months you will…

• Observe trends causing issues for our customers and suggest remedies (for example, what consistent things happen that we can write tooling for...)
• Suggest (and take responsibility for) improvements for team onboarding and ongoing enablement, improving the customer experience, and/or improving the product

About you

You are curious and compassionate. You are a problem solver - you love the moment where you “figure it out”. You enjoy trying new technologies, breaking them and helping fix them. You want to be part of a technical organization while talking with customers.

• Profound curiosity to figure out why something works the way it does / to learn more
• Working experience with Unix/Linux and/or Bash
• Working experience with Kubernetes containerized solutions
• Working experience with code hosts such as GitHub, GitLab and BitBucket
• Strong understanding of databases, especially SQL 
• Compassion to meet our customers (who are all developers themselves) where they are, understand their issues, and be compelled to action
• Experience collaborating with cross-functional teams to solve difficult problems for customers
• Proficiency in communicating complex technical ideas and decisions to a variety of audiences (both technical and non-technical)
• Some experience using Large Language Models (LLMs) and AI tooling,  and how they work
• 2+ years experience in a similar role

Nice to have:

• Foundational knowledge of APIs and/or Git
• Foundational knowledge of cloud computing with AWS, GCP or Azure DevOps
• Experience writing code in Go or another language
• Basic knowledge of or experience with Perforce
• Basic understanding of AI tools and how developers use them

Level

📊 This job is an IC2. You can read more about our job leveling philosophy in our Handbook.

Compensation

💸 We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. You will have the flexibility to work and live anywhere in the world (unless specified otherwise in the job description), and we’ll never take your location or current/past salary information into account when determining your compensation.  As an open and transparent company that values equitable and competitive compensation for everyone, our compensation ranges are visible to every single Sourcegraph Teammate. To determine your salary, we use a number of market and data-driven salary sources and target the high-end of the range, ensuring that we’re always paying above market regardless of where you live in the world.  

💰 The compensation for this role is $84,800 USD base.

📈 In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits.

Interview process

👋 Introduction Stage - we have initial conversations to get to know you better…

• [30 min] Recruiter Screen 
• [45 min] Hiring Manager screen / Resume Deep Dive

🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team…

• [Async 1.5 hr] You complete a technical project and we share the results over email.
• [60 min] Technical knowledge/troubleshooting + collaboration/communication skills with an existing member of our Support Engineering team.  

🎉 Final Interview Stage - we move you to our final round, where you meet cross-functional partners and gain a better understanding of our business and values holistically…

• [30 min] Values interview
• [15 min] Leadership 
• We check references and conduct your background check

Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.

About Brightfield

At Brightfield, we are revolutionizing the way organizations manage their workforce. As a pioneer in workforce analytics, our AI-powered platform, TDX (Talent Data Exchange), helps the world’s largest companies make smarter decisions about how they design, source, and manage their extended workforce.

With over $573B in real-world workforce spend data from 139 countries, we provide the insights our customers need to reduce costs, manage risk, and unlock new levels of agility and performance. Since 2006, we’ve been trusted by the Global 2000 to guide strategic workforce decisions with clarity and confidence.

We are a fully remote team of data-driven innovators, problem solvers, and industry experts who value flexibility, ownership, and continuous learning. At Brightfield, how we work together matters—and we’re building a company where curious, driven people can do their best work.

About the Role

Brightfield is seeking a Senior Data Integration Engineer to play a critical role in designing, building, and scaling the data pipelines and integrations that power TDX. This role is focused on integrating TDX with the customer’s data, workflows and processes.

You will lead the data integration and implementation of TDX API, data pipelines and integrations across internal systems, customer data sources, and third‑party platforms. This is a hands-on, senior-level role for an engineer who thrives in complex data environments, brings strong architectural judgment, and takes pride in building reliable and scalable data solutions. You will partner closely with Product, Data & Analytics, and Engineering to support Brightfield’s customers.

What You’ll Do

• Develop and manage integrations between internal systems, customer environments, SaaS platforms, and data warehouses using APIs and workflow orchestration tools.
• Analyze customer’s workflows and data sources to integrate, ingest and unify customer’s data and onboard to TDX platform.
• Implement TDX APIs with customer and partner solutions.
• Support Brightfield’s existing taxonomy and data processes, models, mappings, and transformation logic to support consistent, high-quality data output across the Brightfield platform.
• Optimize data pipelines for performance, scalability, resiliency, monitoring, and data quality.
• Ensure data integrity, security, and compliance by implementing validation, access controls, and governance best practices.
• Collaborate cross-functionally with Product, Data Science, Analytics, and Customer-facing teams to translate customer’s business and product requirements into technical solutions.
• Contribute to continuous improvement of Brightfield’s data analysis, infrastructure, tooling, and best practices.

What You Bring

• 5+ years of experience in data engineering, data integration, or backend software engineering, with a strong focus on building production data pipelines.
• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
• Expert-level proficiency in Python and SQL, with deep experience transforming and working with large, complex datasets (structured and unstructured).
• Hands-on experience implementing customer workflows through REST APIs, including working with JSON data formats.
• Strong experience working with AWS and other cloud platforms and modern data warehouses (e.g., Snowflake).
• Solid understanding of data modeling, ETL/ELT best practices, and data quality management.
• Proven ability to troubleshoot complex data and integration issues across distributed systems.
• Comfort working in a remote-first, highly collaborative environment with distributed teams.
• Experience integrating enterprise or customer data at scale, particularly in analytics, SaaS, or data platform environments.
• Familiarity with event-driven architectures, message queues, or streaming technologies.
• Experience supporting AI, analytics, or machine learning workflows through reliable data pipelines.
• Knowledgeable in using AI to build and deploy data solutions.
• Prior experience mentoring or leading technical initiatives across teams.

The Control Plane Team is responsible for developing the orchestration and horizontal autoscaling of the Lucenia core search platform. This system layer is designed and developed to run in cloud-native, self-hosted, or a hybrid of both environments.  

In this role, you will be working on the team responsible for developing the Kubernetes based orchestration and auto scaling framework of the Lucene Search data plane and packaging it as a product that runs self hosted, cloud-native, or in hybrid modes. You will ensure compatibility and integration with other vendor offerings such as AWS, Azure, GCP, and/or RedHat OpenShift. You will also be responsible for building the services that power and provide Lucenia’s own SaaS platform. You will work across other functions, including engineering, quality control, performance benchmarking, support, content marketing, and executive leadership to build and market new features, capabilities, and offerings.

What you will do

• Work with a distributed team of experienced engineers focused on delivering self-hosted, cloud-native, and/or SaaS serverless offerings
• Develop container-based workflows with efficient autoscale in connected and disconnected environments.
• Design and develop a collection of processes that coordinate and manage the cluster’s state and scheduling decisions across the data plane. 
• Implement Kubernetes operators/controllers and helm charts with deployment responsibilities in production environments
• Collaborate across engineering, quality control, and leadership teams to execute on product deliverables.
• Invent ideas, collaborate with others, and own solutions from inception to deployment
• Mentor new team members

What you bring 

• Knowledge of the Go programming language 
• Deep understanding of distributed systems and cloud native technologies such as kubernetes, docker, and OCI container registries and systems level integration for serverless autoscaling  
• Experience working with cloud vendors such as AWS, Microsoft Azure, Google Cloud Platform, Red Hat OpenShift and/or Oracle Cloud
• Familiar with vendor and open source object storage technologies and their role in stateful and stateless system orchestration
• Strong understanding of cost benefit trade offs during design and implementation phases.
• Familiar with SAML, LDAP, Active Directory, Single Sign On identity management technologies (e.g., Okta Auth0) and integration with cloud native deployments.
• Strong analytical, debugging, and troubleshooting skills
• Ability to communicate well with individuals and groups to accomplish a common set of goals

Bonus 

• Experience working with OpenSearch and/or Elastic Stack
• Strong scripting skills (e.g., groovy, gradle, python, javascript) 

What You Will Be Doing:

• You’ll work with a globally distributed team of experienced engineers focused on distributed indexing and query capabilities of Lucene.
• You'll be an expert in the engine area and everyone will turn to you when they have a question. You'll improve those areas based on your questions and your instincts.
• You'll be a full time Lucenia contributor, building data intensive new features, fixing exciting bugs and increasing the testing coverage, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure, or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
• You'll work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
• You'll write idiomatic modern Java and possibly Rust!

What You Bring Along:

• You have strong core Java skills and are conversant in the standard library of data structures and concurrency constructs.
• Excellent understanding of concurrent and parallel programming principles.
• Proven background in applied data processing (data structures, algorithms).
• Familiarity with low-level abstractions in OS.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• Solid software engineering foundations, with proven track record of designing and delivering high-quality solutions.
• Comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder but we do it anyway because it's the best way we know to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• Excellent verbal and written communication skills. Collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points:

• You've built things with Luence before.
• Worked on index and search data structures technology.
• Have experience designing, leading and owning cross-functional initiatives.
• Worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
• Past working experience with database, search engine, OS or cloud service development.

🚀 Hermes Web: Call for Founding Engineer

Hermes Web is looking for a founding engineer to build the first polished, hosted personal AI agent product.

Some facts about us:

• Incubated by Open Core Ventures, the studio founded by Sid Sijbrandij (ex-CEO of GitLab)
• Building the hosted, non-technical-user version of Hermes Agent — the fastest-growing open-source agent framework after OpenClaw
• OCV underwrites infrastructure and LLM costs, so you optimize for growth and polish, not unit economics
• Fully remote, product-focused, compressed sprint cadence

If you want to own product and engineering end-to-end, ship consumer-grade polish in a space that's still raw, and help define what a mainstream AI agent product looks like, this is for you.

Project described below.

Requirements

• High agency, ship fast without hand-holding
• Strong Python skills — FastAPI or similar production web framework experience required
• Strong frontend skills (React, Next.js, TypeScript) for the chat, memory, and activity surfaces
• Experience with auth, billing, and multi-tenancy in production products
• Container orchestration experience (Kubernetes, Nomad, ECS, or equivalent)
• Experience with AI-native tools (Cursor, Claude Code, model APIs)
• Knowledge of agents, LLM gateways, rate limiting, and abuse prevention
• Comfortable working across frontend, backend, infrastructure, and AI workflows

The kind of person we want: someone who has shipped a consumer or prosumer product they're still proud of, and who responds to an aggressive timeline with "tight but doable if we cut X, Y, Z" rather than "let me spec it first."

Bonus skills:

• Experience with agent frameworks (Hermes, OpenClaw, LangGraph)
• LLM gateway or proxy work
• Stripe subscription billing at scale
• Production experience hardening agentically-generated code
• OSS contributions
• Consumer AI product experience (Cowork, Cursor, or similar)

Project: Hosted Hermes Agent Platform

1. Introduction

We are building a multi-tenant hosted platform that gives anyone their own personal Hermes agent running in the cloud in under 60 seconds. No terminal, no API keys, no configuration. The agent persists, remembers them, and gets better over time.

This project includes:

• Per-user Hermes containers with network and storage isolation
• A warm pool provisioning system for instant signup-to-first-message
• A production-hardened chat, memory, and activity interface
• An LLM gateway that meters usage, enforces caps, and prevents abuse
• Bundled Claude Sonnet access — users never see an API key or model selector
• Stripe billing infrastructure and self-serve subscription flows

2. Requirements

Platform and provisioning

• Per-tenant container orchestration via Kubernetes or Nomad
• Warm pool pattern for sub-90-second provisioning
• Idle sleep and fast wake (under 2 seconds on incoming message)
• Persistent per-tenant memory and conversation storage
• Auth via Clerk or Auth0 (email + Google OAuth, email verification required)

Frontend

• React, Next.js, TypeScript, Tailwind, shadcn
• Multi-tenant chat, memory, and activity surfaces
• Graceful handling of connection loss, agent timeouts, container restarts
• Streaming responses, conversation history, new-thread flows

LLM gateway

• Proxy every Anthropic API call from every tenant container
• Hold Anthropic API keys server-side; tenant containers never see them
• Per-tenant metering with second-by-second granularity
• Hard daily and monthly cost caps
• Circuit breakers for runaway loops
• Ops kill switch for any tenant

Billing and ops

• Stripe subscription integration at $20/mo
• Self-serve upgrade, downgrade, cancel
• Internal ops dashboard for user management and anomaly response
• Runbooks for common failure modes

3. Non-Goals

• Developer-facing platform
• Self-hosted desktop or mobile apps
• Skills marketplace or plugin ecosystem
• Workflow builder, triggers, scheduled agents
• Team accounts, SSO, enterprise features
• Multiple LLM providers or model selection
• Bring-your-own API key
• Forking Hermes — we track upstream and contribute back

4. Prior Art

• Hermes Agent — the open-source framework we build the hosted experience on top of
• OpenClaw — the largest agent framework today and reference for community patterns and growth dynamics
• LangGraph Deep Agents — architecture patterns for stateful long-running agent workflows
• Anthropic MCP — server design patterns for tool interfaces and permission-aware context
• Cowork (Anthropic) — polish bar and UX patterns for non-technical AI agent products
• Cursor agent UI — interaction model for AI agents in consumer products

Job Description

This is a senior, customer-facing role requiring strong domain expertise in industrial automation and a proven ability to guide both technical implementation and strategic solution expansion.

We’re looking for someone who not only enables the initial deployment but also identifies additional opportunities to expand value across the customer’s organization - be it new use cases, integrations, or system-wide architecture improvements.

You’ll be a key technical advisor and trusted partner to both prospective and existing customers.

Pre-Sales Support:

• Partner with Account Executives during discovery to understand customer goals and technical environments.
• Deliver tailored demos, solution architecture walkthroughs, and lead technical proof-of-concepts (PoCs).
• Help prospects align FlowFuse to their broader industrial and digital transformation goals.
• Collaborate on pricing proposals and technical responses to RFPs and security reviews.

Post-Sales Engagement:

• Lead technical onboarding and early solution implementation.
• Partner with customers to assess results, resolve blockers, and optimize solution design.
• Actively explore and surface additional use cases within the customer organization.
• Facilitate roadmap alignment and strategic planning discussions with technical champions.
• Deliver ongoing best practices, architecture reviews, and training to ensure long-term success.

Skills

What We’re Looking For:

• 5+ years in a Solutions Engineering, Sales Engineering, or Customer Success Engineering role.
• Deep industry expertise in industrial automation, IIoT, smart manufacturing, or related fields.
• Track record of identifying additional solution opportunities within enterprise accounts.
• Experience with technologies such as Node-RED, MQTT, OPC-UA, SCADA systems, PLCs, or edge computing.
• Strong communication skills - comfortable engaging engineers, architects, and executive stakeholders.
• High degree of initiative and ability to manage customer relationships across the lifecycle.
• Willingness to travel occasionally for key customer engagements.

Nice to Haves:

• Hands-on experience deploying Node-RED at scale.
• Familiarity with Unified Namespace or other modern industrial data architectures.
• Experience with containerization, cloud (AWS/Azure), or Linux-based edge devices.
• Multilingual skills (e.g., German, French, Spanish).

90-Day Plan

• Week 1-4:
  • Familiarize yourself with the FlowFuse product, platform capabilities, and target customer profiles.
  • Understand existing sales processes, customer success methodologies, and relevant internal tools.
  • Meet with key internal stakeholders across Sales, Product, and Engineering teams.
  • Begin shadowing customer calls, demos, and technical engagements to learn our approach.
  • Review and provide feedback on existing solution architecture documentation and sales enablement materials.
  • Start leading portions of customer demos and technical discussions with guidance.
• Week 5-8:
  • Develop a deep technical understanding of FlowFuse and its integration points within industrial environments.
  • Engage in your first set of technical PoCs, contributing to design and execution
  • Take ownership of specific pre-sales and post-sales customer engagements, leading technical discussions and solution design.
  • Proactively identify and propose opportunities for expanding FlowFuse's value within customer accounts.
• Week 9-13:
  • Contribute to internal knowledge sharing, developing best practices or technical guides based on customer interactions.
  • Start building relationships with customer technical champions to facilitate long-term success and strategic alignment.

Hiring Plan

• Initial Screening: Review resumes and cover letters to assess candidate qualifications, experience, and domain expertise.
• First Interview (Technical & Role Fit): Conduct a phone or video interview to evaluate technical knowledge relevant to industrial automation, IIoT, and solutions engineering, as well as communication skills. Conducted by the hiring manager.
• Second Interview (Deep Dive & Customer Experience): In-depth interview with the hiring manager and other team members to discuss specific experience in customer-facing technical roles, complex problem-solving, and managing customer lifecycles. Conducted by the Head of Professional Services.
• Technical Presentation / Case Study: Candidate will prepare and deliver a presentation on a technical solution or a case study of a past customer engagement demonstrating their problem-solving and communication skills.
• STAR Interview (Behavioral Alignment): A behavioral interview to understand past experiences and assess alignment with FlowFuse's values, initiative, and collaboration style. Conducted by the CEO.
• Final Interview: A final interview with key stakeholders, potentially including a sales leader or executive, to assess strategic alignment and executive presence.
• Offer: Extend an offer to the selected candidate.

Role Overview:

We are looking for an Software Engineer, AI Systems to help build the backend architecture behind our emerging agent systems. This role sits at the intersection of software engineering, data infrastructure, and applied AI. You will work across the stack to design and implement systems that power LLM-driven product capabilities — from orchestration and tool integration to evaluation and production deployment. You’ll collaborate closely with product managers, designers, and engineers to bring AI-powered workflows directly into our underwriting platform. This is a high-impact role with significant ownership over both experimentation and production implementation. This role is ideal for engineers who enjoy working across layers of the stack and are excited about shaping how agent systems operate inside real production software.

What You'll Be Doing:

• Design and implement agent workflows and orchestration systems for AI-powered product features
• Build backend services that integrate LLMs with structured insurance data and platform APIs
• Develop infrastructure for tooling, context management, and agent execution
• Contribute to internal frameworks supporting prompt iteration, evaluation, and observability
• Partner with product and design to translate underwriting workflows into AI-enabled product experiences
• Help define architectural patterns for building reliable AI-native features in production
• Work across backend systems, data infrastructure, and product integrations to ship user-facing capabilities

Who We Hope You Are:

• 10+ years of experience in backend engineering, data engineering, or related roles
• Strong experience building production backend systems and APIs
• Professional experience working with LLMs, agent systems, or generative AI applications
• Hands-on experience with prompt design, tool-based agent architectures, or LLM workflows
• Proficiency in Python or similar backend languages
• Experience working with cloud infrastructure and distributed systems
• Comfort working across layers of the stack, from infrastructure to product integration
• Strong curiosity about emerging AI architectures and agent patterns
• Comfortable navigating ambiguity and working in a fast-paced, collaborative environment

Bonus Points if...

• Experience building production systems involving LLMs, agents, or prompt pipelines
• Experience designing internal platforms or developer tooling
• Familiarity with insurance, fintech, or B2B SaaS
• Contributions to open-source AI or data infrastructure projects
• Experience with Typescript

Why This Role Matters

You will help build the core infrastructure that powers the next generation of Federato’s platform. Your work will shape how AI systems interact with underwriting workflows and how intelligent automation is delivered to customers. This is an opportunity to work on foundational architecture for agent-driven software, with real-world impact in one of the world’s largest industries.

Base Salary: $215,000 - $250,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package includes stock options, benefits and additional perks. 

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

What We're Looking For

We are seeking a highly experienced Staff Software Engineer to join our team and help lead the design, development, and scaling of our cryptocurrency and blockchain-focused platforms. As a Staff Engineer, you will serve as a technical leader, driving architecture decisions, mentoring engineers, and delivering robust, secure, and high-performance solutions in the crypto space. The ideal candidate brings expertise in designing and implementing enterprise-grade software solutions, with a strong foundation in distributed systems, SOLID principles and modern software design patterns.

Responsibilities:

• Provide technical leadership: define and drive the technical vision and architecture for crypto-related products, services, and infrastructure
• Design, develop, and deliver scalable, secure and performant software components
• Provide technical mentorship and guidance to senior and mid-level engineers; conduct code reviews and promote engineering best practices
• Stay at the forefront of blockchain protocols, DeFi, tokenization standards, and crypto industry trends; evaluate and recommend emerging technologies
• Drive system reliability, incident response, and operational excellence across crypto platform services

Qualifications:

• 5+ years of experience with blockchain technologies, cryptocurrency protocols, or digital asset platforms
• 10+ years of experience developing enterprise systems in C#
• 10+ years of experience with SQL, preferably PostgreSQL or SQL Server
• Deep understanding of blockchain fundamentals — consensus mechanisms, smart contracts, wallet management, key custody, transaction signing, and on-chain/off-chain data flows
• Experience integrating with major blockchain networks (e.g., Bitcoin, Ethereum, Solana, or similar)
• Solid grasp of cryptographic principles — hashing, encryption, digital signatures, HSMs, and key management
• Strong communication skills
• Cloud Architecture - preferably AWS
• Docker / Containers
• Experience designing and developing distributed systems and event driven architecture is a plus. Ideally with understanding or exposure to:  
• MassTransit or NServiceBus
• RabbitMQ
• Idempotency

#LI-JJ1 #LI-Hybrid

Salary Range: $190,000.00 - $220,000.00

We’re seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You’ll transform engineering data into actionable insights through automation, modeling, and visualization.

Responsibilities

• Build and maintain data pipelines to support machine learning and analytics workflows.
• Collect, clean, and transform large, complex datasets from engineering environments.
• Develop and train predictive models for yield, performance, and anomaly detection.
• Automate recurring data analysis tasks and integrate models into engineering processes.
• Collaborate with design and software teams to embed AI-driven insights into products.
• Create dashboards and visualization tools for reporting and decision-making.
• Document code, models, and processes for transparency and reproducibility.

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong skills in data manipulation (Pandas, NumPy, SQL).
• Experience with workflow orchestration (Airflow, Spark, or similar).
• 3–5 years of experience in data engineering or applied AI.
• Bachelor’s degree in Electrical Engineering, Computer Science, or related field.

Preferred / Plus

• Familiarity with semiconductor design, verification, or manufacturing datasets.
• Understanding of statistical modeling and predictive maintenance.
• Experience with cloud environments (AWS, Azure, GCP) and version control (Git).
• Knowledge of MLOps principles (deployment, monitoring, CI/CD).

Job Description & Responsibilities

The Senior Lead Engineer Business Intelligence at OneSix works collaboratively to design and develop data-driven solutions that empower clients with actionable insights. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to refine and implement BI strategies. While not a direct people manager, the Senior Lead Engineer serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for architecting scalable data solutions, optimizing analytics workflows, and leveraging best-in-class BI tools to solve our clients' most pressing challenges.

• Define and drive the BI strategy, ensuring alignment with business objectives.
• Lead and mentor a team of BI engineers, fostering a culture of innovation and continuous improvement.
• Collaborate with executives and key stakeholders to understand business needs and translate them into BI solutions.
• Design, implement, and optimize scalable data models and architectures for reporting and analytics.
• Oversee the development and maintenance of ETL pipelines, ensuring data integrity and performance.
• Manage cloud-based data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake)
• Lead the development of enterprise-level dashboards, reports, and self-service BI tools.
• Implement and optimize BI solutions using Power BI, Tableau, Looker, or similar tools.
• Integrate advanced analytics, predictive modeling, and AI-driven insights into BI platforms.
• Establish and enforce BI best practices, including data governance, security, and documentation.
• Monitor and improve query performance, data processing efficiency, and system scalability.
• Ensure compliance with data privacy and security regulations.
• Work cross-functionally with data engineers, analysts, and business teams to align data strategies.
• Act as a key advisor on data-driven initiatives, influencing decision-making at the leadership level.
• Facilitate training and enablement programs to enhance BI adoption across the organization.

Experience, Qualification,  & Skills

• Bachelor's or Master’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 6+ years of experience in business intelligence, data engineering, or a similar role.
• Expert-level proficiency in SQL, data modeling, and ETL development.
• Extensive experience with BI tools such as Power BI, Tableau, or Looker.
• Deep understanding of cloud data platforms (AWS, Azure) and data warehousing solutions.
• Strong programming skills in Python, R, or other scripting languages for data automation.
• Proven ability to lead teams and manage large-scale BI initiatives.
• Excellent problem-solving, strategic thinking, and stakeholder communication skills.
• Experience with machine learning, AI-driven analytics, or predictive modeling.
• Familiarity with data pipeline orchestration tools (Airflow, dbt, or similar).
• Knowledge of version control (Git) and CI/CD for data workflows.
• Background in Agile methodologies and project management.

Leadership & Soft Skills:

• Strong mentorship abilities and a passion for helping others grow.
• Ability to influence technical strategy without direct managerial authority.
• Effective communication skills to present complex ML concepts to diverse audiences.
• Problem-solving mindset and ability to work cross-functionally with different teams.

Compensation / Benefits

• Competitive compensation
• Company-paid medical, vision, dental, and wellness benefits for employees 
• Company-provided home office equipment
• Flexible vacation and sick days
• Team-oriented and supportive working environment   
• Company-sponsored events and swag

This position offers a base salary in the range of $140,000–$160,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

eClinical Solutions is a global leader in clinical data intelligence, delivering the elluminate® Clinical Data Cloud® — an AI-powered platform driving agentic data review, SDTM automation, and RBQM for 18 of the top 50 pharmaceutical companies worldwide.

As part of our eNOVA AI-First transformation, we are embedding AI across every pillar of clinical development and enterprise operations — compressing cycle times, improving data quality, and redefining how work gets done.

As we scale our AI capabilities, we are building a high-impact, hands-on AI engineering function focused on delivering real, production-grade automation across the enterprise.

You will make an impact:

The Principal AI Engineer – Automation & AI is a hands-on technical leader responsible for designing, building, and deploying AI-powered automation solutions across eClinical Solutions.

This role is builder-first (70–80% hands-on development) and operates within a small, high-output team (2–4 engineers). You will work directly with the CTAO and business leaders to identify high-value use cases and rapidly translate them into working AI systems in production.

This is not a program management or oversight role. You are expected to build, ship, and iterate continuously, leveraging modern AI tooling and agentic frameworks to deliver measurable impact.

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare.

Your day to day:

Building & Shipping AI Systems

• Design and deploy agentic AI workflows and automation solutions across enterprise functions including R&D, Engineering, Professional Services, IT, Finance, Sales, and Marketing
• Build production-grade systems such as:
• Multi-agent workflows
• RAG-based applications
• Document intelligence and summarization pipelines
• Workflow and process automation solutions
• Use modern AI tools and frameworks including:
• Codex, Claude Code, Gemini, NotebookLM
• LangChain, LangGraph, LlamaIndex (or equivalents)
• Rapidly prototype, validate, and deploy solutions in weeks, not months

Owning End-to-End Delivery

• Translate business problems into working AI systems
• Design lightweight architectures and iterate quickly
• Develop and implement:
• Prompt engineering strategies
• Orchestration logic
• API integrations and data pipelines
• Testing, validation, and monitoring frameworks
• Partner directly with stakeholders to refine outputs and drive adoption

Driving High-Velocity Execution

• Deliver continuous output with weekly or bi-weekly releases
• Prioritize use cases based on:
• ROI and business impact
• Technical feasibility
• Speed to value
• Operate with minimal process and high accountability in a fast-paced environment

Contributing to Scalable AI Foundations

• Build and maintain reusable assets including:
• Prompt templates
• Agent design patterns
• Integration utilities
• Contribute to lightweight standards for:
• Security and data handling
• Responsible AI practices
• Evaluation and performance monitoring

Technical Leadership & Mentorship

• Provide technical guidance to a small team of AI engineers and automation specialists
• Lead by example through hands-on contribution
• Support the evolution of the AI engineering function as it scales

Take the first step towards your dream career. Here is what we are looking for in this role.

Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
• 6–10+ years of software engineering experience with recent hands-on work in AI/LLM systems
• Proven experience building and deploying:
• LLM-powered applications
• Agentic workflows
• Automation solutions in production environments
• Strong hands-on experience with tools such as:
• Codex, Claude Code, Gemini, NotebookLM (or similar AI-assisted development tools)
• LangChain, LangGraph, LlamaIndex, or equivalent frameworks
• Proficiency in:
• Python
• API development and system integration
• Cloud platforms (AWS, Azure, or GCP)

Preferred

• Experience with:
• RAG architectures and vector databases
• AI evaluation frameworks, guardrails, and monitoring
• Workflow automation tools and enterprise integrations
• Experience working in regulated environments (e.g., life sciences, healthcare, financial services)
• Familiarity with clinical data, CDISC standards, or clinical development workflows
• Experience in high-growth or PE-backed SaaS environments

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!

eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here: https://topworkplaces.com/company/eclinical-solutions/

eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!

We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.

Esusu: Building Credit Access for All

Your financial future shouldn't depend on your race, background, or zip code. Yet 45 million Americans remain "credit invisible," while countless others face denials, evictions, and predatory interest rates regularly. Esusu is changing that.

As a financial technology and data platform, we're revolutionizing financial health, identity services, and inclusive decision-making for individuals and businesses alike.

Our impact speaks volumes:

• $50 billion in credit activity facilitated
• 5 million+ rental units in our network
• Trusted partnerships with leading real estate companies, government entities, fintechs, banks, and employers

Through our enterprise services, embedded products, and consumer offerings, we're creating a financial system that works for everyone—right when fintech innovation matters most. Join us in building a future where financial systems are inclusive by design, access is standard, and opportunity reaches everyone. Unlock Tomorrow with Esusu.

The Challenge:

We are seeking an expert developer, technical leader, and core team member who will take end-to-end ownership of whole systems and drive major complex systems initiatives. This role is critical as we actively reshape our Software Development Lifecycle (SDLC) to be AI-driven, utilizing agent-based workflows. The ideal candidate will work closely with other experienced engineers to contribute to and execute the team’s technical strategy, maintaining the long-term health of our Ruby on Rails monolith and future systems, and demonstrating the flexibility required to excel in a rapidly evolving, small team-minded environment. This role must ensure successful delivery against team and organizational goals.

What will you help deliver:

• Lead the technical execution and successful delivery of large, complex projects, providing architectural guidance and coordinating efforts among team members and relevant stakeholders.
• Be accountable for the long-term architecture, health, and quality of the team’s codebase and systems.
• Champion the adoption and execution of an AI-driven SDLC, specifically utilizing agent-based building techniques, and demonstrating a high degree of flexibility and willingness to learn.
• Lead engineering designs, soliciting feedback and building consensus across the team, while presenting and implementing best practices and patterns.
• Take full-cycle ownership of projects, including coordination, planning, risk management, security and compliance reviews, design, development, testing, rollout, and maintenance; resulting in an improvement of customer, product, and/or business outcomes.
• Make high-quality, impactful technical contributions across the full stack, encompassing light infrastructure work and a full-stack Ruby on Rails monolith.
• Drive collaboration with teammates, partners, and stakeholders to advance team and organizational goals.
• Mentor L5 engineers, lifting the skills and expertise of those around you, and cultivating learning and growth within the team.

Qualifications:

• Relevant Bachelor's degree (or equivalent practical experience) plus at least 7 years of relevant industry experience in full-stack development, with significant experience in a technical leadership capacity.
• Expertise in using AI throughout the SDLC and in product development, including the ability to design and build data products for your domain. Prior significant experience building work using agents is highly preferred. Must be flexible and possess a strong willingness to learn and excel at this way of working.
• Deep expertise in one or more technical areas, serving as an excellent source of insights and wisdom within the team.
• Superb programming, software, and data development skills, enabling independent problem-solving with minimal explanation needed.
• Exceptional communication skills, with the ability to efficiently translate between technical and non-technical audiences and provide meaningful guidance on designs and code.
• At least 6 years of experience in Ruby on Rails.
• Proficiency in designing and managing relational (SQL) databases like PostgreSQL.
• Experience with front-end languages (JavaScript, TypeScript) and frameworks (Stimulus JS, React), and proficiency with CSS frameworks like Tailwind CSS.
• Experience with hosting platforms like Heroku and cloud providers such as Google Cloud Platform (GCP).

Above and Beyond:

• FinTech/PropTech Expertise: Experience working in FinTech or PropTech sectors.
• Startup Experience: Familiarity with the dynamics of startup environments.
• Compliance Knowledge: Experience working in SOC2-certified, ISO-certified, or similar organizations.
• Verification Experience: Previous experience in fraud detection or identity verification.

Competitive Benefits That Support You

At Esusu, we invest in our people with benefits designed to help you thrive both personally and professionally:

• 💵Competitive Salary – Aligned with your experience and the market
• ✅ Remote first work environment - Where we trust you to get your work done. Core availability expected during Eastern Time (8AM–5PM EST).
• 🫱🏾 🫲🏽In person and virtual team get togethers - To connect with your fellow Esusu colleagues.

We’re looking for someone who enjoys solving problems… especially the ones that start with ‘nothing changed, it just stopped working.’

We’re looking for an experienced IT Systems Engineer III who combines strong technical expertise with excellent customer service and communication skills. This is a fully remote role with constant client interaction. The ideal candidate is proactive, solutions-driven, and focused on security, reliability, and performance.

They are a leading Managed Services Provider that has been in the industry for nearly fifteen years. They like to think of themselves as a community-centered organization: they have clients in different sectors within their region, and their mission is to help them succeed. Their values? To do it with empathy - they want to deliver friendly, caring, and responsive service 100% of the time.

What will your responsibilities be?

• Provide remote technical support via phone, ticketing systems, and remote tools.
• Troubleshoot and resolve issues across networks, servers, endpoints, and cloud environments.
• Design and implement solutions to improve security, uptime, and performance.
• Manage and support Windows Server, Active Directory, and Microsoft 365 environments.
• Administer virtualization platforms (VMware, Hyper-V).
• Support and maintain cloud infrastructure (Azure and/or AWS).
• Configure and manage firewalls (SonicWall, Sophos, Fortinet, Cisco, etc.).
• Monitor systems using RMM tools and maintain clear documentation in ticketing systems.
• Perform network, server, and security assessments following best practices.
• Communicate clearly and proactively with clients and internal teams.

What skills will you need?

• 7–10 years of hands-on experience, ideally in an MSP environment.
• Strong expertise in networking, Windows Server, Active Directory, and Microsoft 365.
• Advanced experience with virtualization (VMware, Hyper-V).
• Experience with cloud platforms (Azure and/or AWS).
• Familiarity with firewalls, backup solutions (Datto, Veeam), and RMM tools (e.g., NinjaOne).
• Excellent communication, organization, and time-management skills.
• Proactive, results-oriented, and a strong team player.
• Experience handling customer support via calls and tickets.
• Professional-level English.
• Nice to have: technical sales experience.

Ideally, you will have one or more of the following certifications:

• CompTIA Net+ and/or CompTIA Security+
• CCNA or CCIE-Cisco certifications a real plus
• Microsoft certifications for Azure, Office 365, Security

The Company

Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai

Overview

We are seeking a Data Engineer with strong Python and distributed processing skills to design, build, and maintain scalable data pipelines and the infrastructure behind our analytics products. This role focuses on delivering reliable, performant data systems by developing robust ETL/ELT workflows, optimizing data storage and processing, and ensuring data availability and quality at scale.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver data across the organization.
• Develop and optimize distributed data processing jobs using Python for large-scale data transformation and aggregation.
• Architect and manage PostgreSQL schemas, tables, indexes, and query performance to support downstream analytics and reporting.
• Build and maintain Python-based data workflows to orchestrate, validate, and deliver data reliably across environments.
• Monitor and improve data quality, freshness, and completeness through automated checks, alerting, and observability tooling.
• Design and manage cloud-based data infrastructure on AWS
• Partner with data analysts and stakeholders to translate requirements into well-modeled, maintainable data products.
• Maintain documentation for pipelines, data models, data lineage, and infrastructure.
• Troubleshoot pipeline failures and data issues, providing timely root-cause analysis and remediation.

Required Qualifications

• Experience: 3+ years of professional experience in data engineering.
• PostgreSQL: Schema design, indexing strategies, query optimization, and performance tuning.
• Python: Pipeline development, data validation, and orchestration frameworks.
• Distributed Processing and Storage: Hands-on production experience with tools such as AWS Athena, Apache Spark, etc.
• ETL/ELT: Proven experience designing and implementing pipelines in production.
• Cloud: AWS (S3, EKS, Glue, Athena).
• Data Modeling: Dimensional modeling, data warehousing patterns, and reproducible transformations.
• Engineering Practices: Git workflows, code reviews, testing, and CI/CD.
• LLM AI Agents: ability to use agents effectively to increase output.

Preferred Qualifications

• Experience with workflow orchestration tools (e.g., AWS Step Functions, Prefect, Dagster).
• Familiarity with modern data stack concepts: ELT patterns, data lakehouse architecture, semantic layers, and governance.
• Experience implementing automated data quality frameworks and pipeline observability.
• Exposure to streaming or near-real-time data processing (e.g., Kafka, Spark Streaming, Pub/Sub).

What Success Looks Like

• Reliable pipelines.  Pipelines are performant and trusted by downstream consumers.
• Maintainable infrastructure.  Data systems are well-documented, cost-efficient, and easy to extend.
• Proactive quality.  Data issues are detected early, with clear ownership and fast resolution paths.
• Consistent delivery.  Data is correctly modeled and delivered on time across all environments.

Skills & Attributes

• Systems-level thinking with strong attention to correctness, reliability, and scale.
• Ability to balance delivery speed with data quality, maintainability, and cost efficiency.
• Clear written and verbal communication with both technical and non-technical partners.
• Comfortable owning end-to-end data products from architecture through production support.

Assignment: 

• 4-month contract with possibilities to extend

• 3–6 years of experience in a software engineering, solutions engineering, or technical implementation role
• Strong proficiency in Python and/or another backend language; comfort reading and writing production-quality code
• Experience with REST APIs, webhooks, and common integration patterns
• Familiarity with cloud platforms (AWS, GCP, or Azure) and data infrastructure tools
• Excellent communication skills — able to explain complex technical concepts to both engineers and non-technical stakeholders
• Self-starter mentality with strong project management instincts; able to juggle multiple customer engagements simultaneously
• Genuine curiosity about AI/ML and enthusiasm for helping customers unlock value from cutting-edge technology

• Prior experience at an AI/ML or developer tools company
• Familiarity with LLMs, vector databases, or ML model deployment
• Experience with enterprise software environments (SSO, VPCs, data residency requirements)
• Background in customer-facing engineering roles (forward deployment, solutions engineering, professional services)

Why This Role

• Direct influence on product direction — your customer insights will shape what we build
• High ownership from day one with a clear path to senior or team lead roles
• Competitive salary, equity, and benefits
• Collaborative, low-ego team that values craft and customer obsession

• We provide an opportunity to not only increase your knowledge, but ours as well.
  • We strongly believe is sustainable growth. As a startup, we put our customers and employees first.
• Our company vision allows for a lot of creative exploration.
  • What does a future where people consume all information through audio look like? How do we create this future?
• We have life changing product market fit.
  • Our users (people with disabilities, students, working professionals) report life changing experiences after discovering our product.
• We move very quickly
  • We run many experiments and ship product updates multiple times every week.
• We are focused on customers
  • We start from concrete user problems and build systems that solve them
• We value deep thinking
  • We get to the right answers through careful thought and experimentation and love digging deeper into the details.

What we offer

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

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

Think you’re a good fit for this job? 

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

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

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

The Renewed Vision macOS Software Engineer will develop innovative features and technologies that will drive the growth of our platform.

You love working on software for macOS and have a track record to prove it. You might even have a bit of a love-hate relationship with macOS and AppKit — knowing that the built in technologies are great, but they do have their shortcomings. You write code with a product focus knowing that there is a balance to be found in the tension that exists between code perfection and customer value. You have the skills and desire to work with a multi-platform cross-functional team in developing and delivering solutions that will move our products forward.

We want people who:

• Have extensive experience developing and delivering high quality software on macOS, this could include previous experience with Swift, Objective-C, SwiftUI, AppKit, Xcode, XPC.
• Are deeply familiar with Objective-C and Swift
• Can focus on details while understanding the importance of timely, high-quality, updates
• Understand the balance between refactor now vs. refactor later
• Consistently seek to learn and develop both personally and professionally

We really want people who:

• Are comfortable with C/C++ and practical experience using these languages with Swift/Objective-C (if you have C++ experience but not Swift/Objective-C experience, please look at other roles within our company as this role requires Swift/Objective-C experience)
• Have excellent written and verbal communicator
• Take ownership of projects, work with loosely defined specs, and drive for results

Our best developers will have:

• Experience developing and integrating cloud services into a native application
• Worked on graphics applications using OpenGL, Metal, or other graphics frameworks

Overview

The centralized Data and Analytics team at Recharge delivers critical analytic capabilities and insights for Recharge’s business and customers. 

As a Senior Data Engineer, you will build scalable data pipelines and infrastructure that power internal business analytics and customer-facing data products.  Your work will empower data analysts to derive deeper strategic insights from our data, and will  enable developers to build applications that surface data insights directly to our merchants. 

What you’ll do

• Build data pipeline, ELT and infrastructure solutions to power internal data analytics/science and external, customer-facing data products.
• Create automated monitoring, auditing and alerting processes that ensure data quality and consistency.
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Design, develop, implement, and optimize existing ETL processes that merge data from disparate sources for consumption by data analysts, business owners, and customers
• Seek ways to continually improve the operations, monitoring and performance of the data warehouse
• Influence and communicate with all levels of stakeholders including analysts, developers, business users, and executives.
• Redesign and optimize existing data processes using AI (e.g., LLM-assisted development, automated documentation, issue resolution) to improve team productivity and enhance data quality across the data warehouse
• Live by and champion our values: #day-one, #ownership, #empathy, #humility.

What you’ll bring

• Typically, 5+ years experience in a data engineering related role (Data Engineer, Data Platform Engineer, Analytics Engineer etc) with a track record of building scalable data pipeline, transformation, and platform solutions. 
• 3+ years of hands-on experience designing and building data pipelines and models  to ingesting, transforming and delivery of large amounts of data, from multiple sources into a Dimensional (Star Schema) Data Warehouse, Data Lake.
• Experience with a variety of data warehouse, data lake and enterprise data management platforms (Snowflake {preferred}, Redshift, databricks, MySQL, Postgres, Oracle,  RDS, AWS, GCP)
• Experience building data pipelines, models and infrastructure powering external, customer-facing (in addition to internal business facing) analytics applications.
• Solid grasp to data warehousing methodologies like Kimball and Inmon
• Experience working with a variety of ETL tools. (FiveTran, dbt, Python etc)
• Experience with workflow orchestration management engines such as Airflow & Cloud Composer
• Hands on experience with Data Infra tools like Kubernetes, Docker
• Expert proficiency in SQL
• Strong Python proficiency

Interview recording & AI notetakers
To protect privacy, legal compliance, and interviewer/candidate experience, recording, transcribing, or using AI notetaker tools during interviews is not permitted without our prior written consent. Handwritten notes are welcome. If you need an accommodation (e.g., captions), email recruiting@getrecharge.com before your interview—we’ll arrange an approved solution.

Compensation 

Recharge’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. Salary ranges are designed to be competitive and aligned with country specific practices, while individual compensation is determined by skills, qualifications, and experience. The compensation listed is not inclusive of any equity and benefits that might exist in your total compensation package.

• Hiring range in the US
  $148,000 USD - $185,000 USD
• Hiring range in Canada
  $108,000 CAD - $136,000 CAD

Application window anticipated to close: 6/1/2025. If you’re interested in this opportunity, please submit an application as soon as possible.

Within the P&C domain, this role supports modernization of the data ecosystem including transition from DHIC (DataHub/InfoCenter) to a CDA (Cloud Data Access) architecture that enables access to Guidewire base tables. The role contributes to building consolidated data assets combining Guidewire with legacy P&C mainframe systems.  Support the phased transition from DHIC reporting structures to CDA-based data access framework.  Experience with Guidewire platforms (PolicyCenter, BillingCenter, ClaimCenter) and familiarity with Guidewire data models.  Experience working with Guidewire DHIC and CDA (Cloud Data Access) frameworks required.  

This position has a wide degree of autonomy, and the incumbent must have the ability to move projects forward based on experience and industry standards.  The position is charged with:

•    Anticipating IT industry future directions and relates it to (Horace Mann) evolving needs This includes evolving enterprise data architecture and Guidewire platform capabilities.
•    Applying expertise for the development, specification and communication of the technology architecture that is applicable to their domain
•    Conforms and contributes to standards and environment needs
•    Flexibility to effectively provide leadership when called upon to provide some project management for single project involving their area of technical expertise
•    Works on multiple projects that require in-depth knowledge across multiple technical areas and business segments. Projects will include Guidewire data integration, P&C reporting solutions, and legacy system data consolidation.
•    Typically works on a defined set of solutions in all lifecycle stages for a particular business domain

This position is a seasoned subject matter expert in multiple technical roles. They must have the capacity to work on multiple projects as project leader or as the subject matter expert.

Challenges
•    Establishing, contributions to and team level enforcement of standards and processes
•    Interweaving technology enhancements into business initiatives
•    Proactively exploiting opportunities to improve the operation’s effectiveness and reduce cost
•    Keeping abreast of changes/innovations in the IT field and applying that knowledge in an effective and timely manner to Horace Mann IT practices
•    Establishing and communicating a cohesive technology direction in partnership with the business initiatives
•    Understanding and communicating how their portfolio cooperates and meets the needs of their business domain
•    Helping establish and communicate the changes needed to modernize the IT systems and business processes while maintaining operations and legacy support

Principle Accountabilities
•    Team conformance and contribution to standards
•    Technical solution planning to meet the needs of their business domain
•    Incorporating technology advancements into existing solutions
•    Communication
•    Team’s delivery of the technical portions of projects

Education and Experience 
Bachelor’s degree in Computer science, Information Systems, or other related field, Or equivalent work experience.  4-6 years of IT work experience in multiple IT areas 1-2 years of project management experience.  Must have a commitment to continuing education.  Appropriate industry certification (s) a plus.

Required Competencies
•    Excellent oral and written communication with a strong sense of professionalism and tact.  Must be able to communicate effectively to IT and Business.
•    Self-motivated and goal-oriented individual.  Demonstrated record of initiative,  record of initiative, adaptability and decision making.
•    Proven ability to seek out and solve problems; go beyond the obvious to gain performance
•    Strong project management skills and solid team-player

Technology Competencies
•    Experience required with Guidewire CDA and DHIC 
•    Experience preferred with Snowflake data platform and cloud data warehousing.
•    Experience preferred with dbt (data build tool) for data transformations, testing, and documentation.
•    Strong experience with Guidewire platforms with an understanding of the data model.
•    Strong working knowledge of dependencies between software development and infrastructure design.
•    Specific to targeted platform – Expert level working knowledge of development and debugging tools
•    Strong working knowledge of database design and query including advanced SQL development for large insurance datasets.
•    Strong working knowledge of SDLC and Project Life Cycle principles
•    Expert level working knowledge of platform specific code repository products
•    Specific to targeted platform – strong working knowledge of client-side and server-side scripting
•    Strong design and documentation skills using tools and techniques such as pipeline design patterns,  DB design, and infrastructure diagrams.

Pay Range:

• $105,200.00 - $147,950.00  

Salary is commensurate to experience, location, etc.

#VIZI 

#LI-LM1 

About the role:

We’re looking for a Senior Machine Learning Engineer to accelerate our AI research-to-production pipeline. You’ll build and improve the infrastructure that enables our research team to rapidly deploy and safely test new models, while helping ensure our production inference systems remain efficient, scalable, and reliable. You’ll identify gaps and opportunities in our ML infrastructure, scope solutions to ambiguous technical problems, and help set the technical direction for how we bridge research innovation and production reliability. This role requires a strong backend engineering background in distributed systems and containerization, and a track record of independently driving projects from concept to delivery. This is a cross-functional role that requires close collaboration with both research teams developing models and engineering teams supporting the broader platform.

What You’ll Do:

• Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production 
• Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs
• Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability
• Develop and maintain user-facing APIs that interact with our ML systems
• Implement comprehensive observability solutions to monitor model performance and system health
• Troubleshoot and lead resolution of complex production issues across distributed systems, driving root-cause analysis and implementing preventive measures
• Set the direction for and continuously improve our MLOps practices, identifying the highest-impact opportunities to reduce friction between research and production.
• Collaborate closely with research and engineering teams to align on technical direction, and help onboard and mentor engineers on ML infrastructure best practices.

What You’ll Need:

• Strong backend engineering experience with Python
• Experience building and operating distributed, containerized applications, preferably on AWS 
• Proficiency implementing observability solutions (monitoring, logging, alerting, tracing) for production systems
• Ability to design and implement resilient, scalable architectures
• Track record of independently scoping and delivering complex technical projects from problem identification through production deployment
• Comfort navigating ambiguity and making pragmatic technical decisions when requirements are unclear or evolving

An ideal candidate should also have some of the following:

• MLOps experience, including familiarity with PyTorch and Kubernetes
• Experience working in fast-paced environments where you owned technical direction for an area and drove projects with minimal oversight.
• Experience collaborating with remote, globally distributed teams
• Comfort working across the entire ML lifecycle from model serving to API development
• Experience in audio-related domains (ASR, TTS, or other domains involving audio processing)
• Experience with other cloud providers
• Familiarity with Bazel and monorepos
• Experience with alternative ML inference frameworks beyond PyTorch
• Experience with other programming languages
• Experience mentoring junior engineers or onboarding teammates onto complex systems

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage, and industry, and are one part of many compensation, benefit, and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level, qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

The provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process.

Salary range: $195,000 - $225,000

Position Summary

As an Effectual Cloud Migration Engineer, you will be an important member of a migration team assisting clients who are migrating from on-premises infrastructure or VMC to AWS cloud native services. You will work with a technical leader to implement, manage, and migrate workloads to AWS cloud environments, while maintaining optimal migration strategies for diverse application portfolios. The engineer will utilize AWS-native services, containerization, serverless architectures, and advanced analytics capabilities to modernize and migrate applications, ensuring seamless transitions that align with best practices and the Well-Architected Framework. This position reports to Sr Manager, Migrations and Modernizations.

A Glimpse into the Daily Routine of a Cloud Migration Engineer

As an Effectual Cloud Migration Engineer, you will be responsible for planning, executing, and optimizing cloud migration projects on the AWS platform. You will leverage your expertise in AWS migration tools and methodologies to ensure successful and efficient migrations for our clients. Additionally, you will provide technical leadership and mentorship to customer engineers as they begin to adopt AWS services.

Responsibilities

• Utilize AWS migration tools and methodologies to assess, plan, and execute migrations of workloads to the AWS platform.
• Design, deploy, and maintain scalable and highly available cloud infrastructure solutions.
• Collaborate with cross-functional teams to ensure seamless application migrations across compute, storage, networking, and security.

• Utilize AWS services such as AWS Migration Hub (MGN) or Database Migration Service (DMS) to facilitate migrations.
• Implement and manage cloud services and resources, such as virtual machines, containers, storage, networking, and serverless computing
• Develop and maintain automation scripts and infrastructure-as-code (IaC) templates to streamline the provisioning and configuration of cloud resources
• Monitor and optimize cloud infrastructure performance, ensuring efficient resource utilization and cost optimization
• Provide technical guidance and expertise to client cloud engineers and support teams as they adopt AWS
• Collaborate with security teams to implement and enforce cloud security measures, including access controls, encryption, and threat detection.
• Support incident response and troubleshooting of cloud infrastructure-related issues, ensuring minimal service disruptions

Qualifications

• 5+ years of experience as a technical specialist
• 4-7 years of experience developing AWS cloud infrastructure
• 2+ years Hands-on experience with AWS migration services such as AWS Migration Hub (MGN), Database Migration Service (DMS), and AWS Cloud Migration Services.
• Solid experience planning and executing cloud migration projects, preferably on the AWS platform, including Mobilize (wave planning) and Migrate phases of an AWS Migration.
• Proficient in developing Infrastructure-as-Code (e.g.: Terraform / AWS CloudFormation)
• Work with multiple clients, in parallel
• Experience with AWS including core services and infrastructure components
• Proficiency in scripting and automation using languages like Python, PowerShell, or Bash
• 2+ years of experience with infrastructure-as-code tools such as Terraform or CloudFormation

Required Certifications

• AWS Certified Cloud Practitioner

Optional Certifications

• AWS Certified DevOps Engineer – Professional
• AWS Certified Advanced Networking - Specialty
• • AWS Certified SysOps Administrator - Associate
  • AWS Certified Security - Specialty

Nice to have

• Experience with log management, monitoring, and data analysis
• Familiarity with virtualization, containerization, and orchestration technologies (e.g., Docker, Kubernetes)
• Knowledge of networking concepts and protocols, including virtual private clouds (VPCs), subnets, load balancers, and DNS
• Understanding of cloud security principles and best practices, including access controls, encryption, and security groups
• Experience in data and database management, including data integration, ETL processes, SQL query optimization, and database administration
• Familiarity with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra)
• Strong problem-solving and troubleshooting skills, with the ability to diagnose and resolve cloud infrastructure and data-related issues
• Effective communication and collaboration skills to work effectively with cross-functional teams and stakeholders in English language
• Continuous learning mindset to stay updated with emerging cloud technologies and industry trends
• Knowledge of Agile / Scrum SDLC methodologies
• Ability to work Eastern Standard Time Zone schedule but support customers in different regions
• AWS Solution Architect Associate Certification
• Experience in VMware hosted Virtual Machine Infrastructure
• Cloud Cost Optimization (Right-Sizing, Cost Management Tools)

Location: Remote

Company Offered Benefits

Full-time employees are eligible to participate in our employee benefit programs:

• Medical, dental, and vision health insurances,
• Short-term disability, long-term disability, and life insurance,
• 401 (k) with Company match
• Paid time off (PTO) (120 hours PTO that accrue over one year)
• Paid time off for major holidays (14 days per year)
• These and any other employee benefit offerings are subject to management’s discretion and may change at any time. 

Physical Demands and Work Environment  

The work is generally performed in an office environment.  Physical demands include sitting, keyboarding, verbal communication, and written communication.  Employees are occasionally required to stand, walk, reach with hands and arms, climb or balance, and stoop, kneel, crouch, or crawl. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform the functions. 

Salary Range for this position: $125,000-$140,000

CA ID: IT10000642B 

"Salary ranges provided are for informational purposes only and may vary depending on factors such as experience, qualifications, and geographic location. The final salary offer will be determined based on your skills and understanding of the role requirements.” 

This job description may not be inclusive of all assigned responsibilities or aspects of the job described, and may be amended at any time at the sole discretion of the Employer. Responsibilities are subject to possible modification to reasonably accommodate individuals with disabilities. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship. Effectual Inc. is an EEO employer and does not discriminate on the basis of any protected classification in its hiring, promoting, or any other job-related opportunity. 

Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capnexus is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. 

Who You Are and What You'll Do: 

Capnexus is looking for a highly skilled Senior AWS Data Engineer to lead data architecture, pipeline development, and ERP integration for a 12-week AI-powered modernization engagement in the construction industry. This role is focused on designing and implementing the data engineering backbone of an intelligent subcontractor pre-qualification platform, including CMIC ERP API integration, Amazon Textract data extraction pipelines, ETL development using AWS Glue, and data quality validation. This is an exciting opportunity to apply advanced cloud data engineering skills on a platform that leverages generative AI to automate and modernize enterprise workflows. 

Responsibilities: 

• Lead data architecture design, API assessment, and ETL requirements gathering during the Discovery & Design phase. 

• Develop and configure CMIC ERP API integration to establish reliable data exchange between the ERP system and the AWS platform. 

• Design and implement data pipelines using AWS Glue for ETL processing of subcontractor documents and ERP data. 

• Integrate Amazon Textract to extract structured data from insurance certificates, bonding letters, and financial documents. 

• Build and maintain data models to support AI-powered validation, risk profiling, and executive reporting. 

• Configure Amazon S3 data lake architecture to store and manage raw, processed, and curated data assets. 

• Implement AWS Lambda and AWS Step Functions to orchestrate data workflows and automated processing pipelines. 

• Develop and expose data through Amazon API Gateway to support application and dashboard consumption. 

• Ensure data quality, validation, and integrity across all integration points and pipeline outputs. 

• Conduct data integration testing and support user acceptance testing (UAT) for data-dependent features. 

• Collaborate with Full Stack, AI/ML, and DevOps team members to ensure seamless end-to-end data flows. 

• Contribute to knowledge transfer documentation, data pipeline runbooks, and operations guides. 

Qualifications: 

• 5+ years of data engineering experience, with at least 2+ years working in AWS cloud environments. 

• Strong proficiency in SQL and experience with AWS database services including RDS, DynamoDB, and Aurora. 

• Hands-on experience with AWS Glue for ETL development and data pipeline orchestration. 

• Experience integrating with ERP systems or enterprise APIs, with ability to assess and document API capabilities. 

• Working knowledge of Amazon Textract for automated document data extraction. 

• Proficiency with Amazon S3 for data lake design, storage management, and lifecycle policies. 

• Experience with AWS Lambda and AWS Step Functions for serverless data workflow orchestration. 

• Solid understanding of data modeling, data quality validation, and integration testing practices. 

• Familiarity with Amazon API Gateway for exposing data services to downstream consumers. 

• Strong analytical, problem-solving, and communication skills with the ability to work in Agile/Scrum teams. 

Nice to Have: 

• Experience with Amazon Bedrock or AI/ML-integrated data pipelines. 

• Familiarity with CMIC ERP or similar construction industry enterprise resource planning systems. 

• Experience with GraphQL APIs or AWS AppSync. 

• Knowledge of TypeScript or Python for pipeline scripting and Lambda function development. 

• AWS Certification (Data Analytics Specialty, Database Specialty, or Solutions Architect). 

• Background in construction, insurance, or financial services industries. 

"Our Culture": 

At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: 

"A Customer Obsessed, Delivery Focused, Culture" 

• We’re driven to exceed our customers’ expectations by listening, leading, solving problems, and delivering what we promise 

• We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME 

"A Culture of Learning and Sharing" 

• We value “Lifetime Learners”; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge. 

• Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities. 

• We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach. 

• Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially. 

"A Culture of Growth and Scalability" 

• Growth comes from not establishing barriers in your role. “Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way. 

• The most elegant solution is a simple solution. Simple doesn’t mean easy. It’s often more difficult to break a complex problem down into simple, scalable terms. We don’t appreciate, or value, over architected solutions or superfluous coding. 

• Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time. 

"All Work is Strategic" 

• No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow 

• Every task, interaction, and commitment matters 

• Big or small, we execute our plans and strategies with focus, commitment, and passion 

We offer: 

Job Type: Full-time, 1099

Duration: Short-term

Benefits: 

• Remote work 

Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we’re dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn’t perfectly align with what we have listed. We look forward to hearing from you. 

No Agencies Please!