Q-Tx LLC, based in Houston, Texas, is an independent commodities trading business, leveraging our passion for data, research, technology and trading expertise to deliver consistent and high-quality returns for our investors.

Q-Tx is affiliated with Qube Research & Technologies, a global quantitative and systematic investment manager.

Your future role within Q-Tx:

The successful candidate will join the global Cloud Infrastructure team to design, build and support services and solutions to meet a wide variety of business requirements. You will be working closely with the trading, research and wider business teams to drive adoption of cloud-based services, implementing a cloud-first approach to problem solving. Cloud computing infrastructure is at the heart of Q-Tx’s IT platform, and spans across many business areas including research technology, trading tools, market execution and data processing.

• Design and implement highly available, scalable, and secure cloud infrastructure on AWS
• Develop automation scripts to manage and maintain cloud infrastructure using tools such as Terraform and CloudFormation
• Monitor and optimize the performance and cost-effectiveness of cloud infrastructure
• Collaborate with development teams to support the deployment and operation of applications on AWS
• Evaluate and recommend new technologies to improve the reliability, scalability, and security of the company's cloud infrastructure
• Troubleshoot and resolve technical issues related to AWS infrastructure

Your present skillset:

• Extensive experience with AWS, including experience with EC2, S3, VPC, and other core services
• Proficiency with scripting languages (e.g. Python, Bash)
• Familiarity with configuration management tools (e.g. Ansible, Terraform)
• Experience with containers and orchestration technologies (e.g. Docker, ECS, Kubernetes)
• Experience with monitoring and performance tuning in a cloud environment
• Familiarity with agile software development methodologies
• Excellent communication and collaboration skills

Forthea is seeking a Senior Software Developer to join our team and help build and evolve our proprietary marketing technology platform, and internal tools. In close partnership with our analysts, account teams, and clients. You will engage across the full software development lifecycle, focusing on creating scalable solutions that deliver data-driven insights for our team and enterprise clients. 

This role based in Houston, Texas with a hybrid schedule. 

Key Responsibilities

• Design and develop robust, scalable backend services using Python and Node.js, primarily data analytics apps and dashboards 
• Design, build and manage Microsoft SQL Server and PostgreSQL databases that support operational and analytics workloads 
• Build responsive, intuitive user interfaces using React.js/Next.js, HTML, and CSS.Also, build and maintaindashboards in PowerBI/PowerApps. 
• Build and maintain Azure-based and multi‑cloud data pipelines and integrations. 
• Leverage cloud platform services in Azure (and sometimes GCP and AWS) for infrastructure and data storage. 
• Implement scalable APIs, authentication, RBAC, and secure multi-tenant architecture. 
• Implement AI and ML models in collaboration with data science. 
• Participateand lead code reviews, architectural discussions, and agile workflows. 
• Improve performance, reliability, testing, and code quality across the stack. 
• Collaborate with internal stakeholders to translate business and analytics needs into production-ready software. 

Qualifications

• Bachelor’s degree in Computer Science or related field (or equivalent professional experience). 
• 7-12+ years of experience developing production software and architecting scalable systems.
• Experience with Azure and Microsoft SQL Server.
• Strong skills in SQL, Python, JavaScript/TypeScript, React/Next.js, Docker 
• Experience building 1-2 full‑stack enterprise applications similar to: multi‑tenant analytics apps/dashboards, unified data warehouse + pipelines, business workflow / planning / automation tools
• Forward-deployed engineering experience – comfort embedding with non-technical stakeholders, translating ambiguous business problems into working software, and iterating quickly with users in the loop. Equally at home in a stakeholder meeting and a code review. 
• Proven experience building API integrations, data pipelines and managing production-scale constraints. 
• Strong experience with modern frontend frameworks (React.js required) 
• Proven experience in AI coding, automation & code optimization techniques. 

Nice to Have

• Marketing analytics, digital marketing or ad tech background
• Experience with Google Ads and Google Analytics 4 APIs
• Experience with PowerBI, NinjaCator other BI software
• Experience with AI/LLM model deployment and monitoring 
• Familiarity with dbt, Airflow/Prefect/Dagster, Terraform/Bicep 

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

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

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.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity 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.

Role: Senior Software Engineer 
Reports to: Sr. Manager, Software Engineering 
Location: Houston, TX; Boston, MA; 

A quick snapshot…
As a Senior Software Engineer at Conga, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…
As a Senior Software Engineer, you will play a critical role in shaping the future of Conga’s AI-powered product portfolio. You’ll lead the development of scalable, production-grade solutions that bring generative AI capabilities to life, while influencing architecture, engineering best practices, and delivery execution. Your work will directly impact product innovation, platform reliability, and the ability of our teams to build intelligent, high-performing solutions at scale.

Are you the person we’re looking for?   

Related experience.

At least 6 years of professional software development experience, including significant experience building AI/ML or generative AI applications. Demonstrated success developing scalable, production-grade software solutions and leading complex technical initiatives from design through deployment.

Technical Expertise:

• Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks
• Deep understanding of software design patterns, object-oriented programming, and concurrency
• Strong experience with cloud technologies such as GCP, AWS, or Azure
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Knowledge of generative AI frameworks such as LangChain and LangGraph, along with MLOps and AI lifecycle management
• Experience deploying and monitoring AI models in cloud environments
• Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred

Education: A bachelor’s degree in Computer Science, Engineering or equivalent 

Here’s what will give you an edge… 

• Hands-on experience with advanced machine learning algorithms, including generative models, NLP, and transformers
• Knowledge of industry-standard AI frameworks such as TensorFlow and PyTorch
• Experience with data preprocessing, model evaluation, and AI model optimization
• Proficiency with relational and NoSQL databases such as MongoDB, MSSQL, and PostgreSQL
• Experience with analytics platforms such as BigQuery, Snowflake, or Tableau
• Familiarity with messaging systems such as Kafka
• Experience with test automation tools and CI/CD tooling, including Terraform and GitHub Actions
• Advanced knowledge of GCP technologies such as Vertex AI, BigQuery, GKE, GCS, and Dataflow, particularly for deploying AI models at scale 

Responsibilities:

• Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability
• Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization
• Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance
• Take ownership of architecture and technical decisions for AI/ML projects
• Mentor junior engineers, review code for adherence to best practices, and promote technical excellence across the team
• Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers
• Proactively identify and mitigate risks to support successful, on-time delivery
• Contribute to architectural design and planning for new features, ensuring solutions are scalable, reliable, and maintainable
• Conduct rigorous code reviews and provide actionable feedback that supports team growth and software quality
• Design and implement robust test suites to ensure code quality and system reliability
• Advocate for test automation and CI/CD pipelines to streamline testing and maintain service health
• Monitor and maintain the health of deployed services using telemetry and performance indicators
• Perform root cause analysis for incidents and drive preventive measures to improve system reliability
• Operate in a DevOps model, taking end-to-end ownership of features and services in production
• Create and maintain thorough documentation for code, processes, and technical decisions
• Contribute to knowledge sharing and continuous improvement across the engineering organization

#LI-BR1

Job Title: Software Engineer
Locations: Houston, TX; Boston, MA  
Reports to: Manager, Software Engineering 

 A quick snapshot…
We are seeking a talented and motivated Software Engineer to join our engineering team and contribute to the development of next-generation AI and Generative AI–powered products and solutions. In this role, you will work on cutting-edge SaaS technologies and help build scalable software used by enterprises worldwide. You will contribute to the design, development, testing, deployment, and maintenance of software systems while collaborating with cross-functional teams to deliver reliable and innovative product capabilities.

Why it’s a big deal…  
As a Software Engineer, you will contribute to the development of Conga’s AI-powered platform by helping build scalable applications and services that support intelligent automation and advanced analytics for global customers. 

Here's what we’re looking for… 

Related Experience. 

Software Development. Write clean, maintainable, and efficient code for software applications and distributed systems while adhering to engineering best practices.

GenAI Product Development. Participate in the AI development lifecycle including data preparation, model experimentation, evaluation, and deployment of generative AI solutions.

Technical Contribution. Collaborate with engineering teams to develop and enhance software features that meet performance, scalability, and reliability requirements.

Feature Delivery. Work closely with product managers and engineering teams to deliver features and improvements on schedule while maintaining high quality standards.

Architectural Participation. Contribute to technical design discussions and architecture reviews to ensure solutions are scalable, reliable, and maintainable.

Code Review. Participate in peer code reviews and maintain a high standard of technical quality across the engineering team.

Testing & Quality. Develop testable software, write unit tests, and participate in automated testing processes using modern testing tools and frameworks.

Service Health & Reliability. Monitor service performance and assist in troubleshooting issues. Participate in root cause analysis and improvements to enhance system reliability.

DevOps Collaboration. Work within a DevOps model to help deploy, monitor, and maintain applications in production environments.

Documentation. Document features, enhancements, and fixes while contributing to knowledge sharing and internal documentation.

Education. A bachelor’s degree in engineering or equivalent. 

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
• 4+ years of professional software development experience
• Strong proficiency in Python and modern Python frameworks
• Experience with FastAPI, PyTest, Celery, or similar technologies
• Familiarity with software development practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Understanding of cloud technologies and DevOps principles

Here’s what will give you an edge… 

• Experience with object-oriented programming, concurrency, and REST APIs
• Familiarity with AI/ML, Generative AI, and MLOps concepts
• Experience with LangChain, LangGraph, or similar AI frameworks
• Experience working with SQL and NoSQL databases such as MongoDB, MSSQL, or PostgreSQL
• Experience with CI/CD pipelines and tools such as Terraform and GitHub Actions
• Experience with Docker and Kubernetes
• Familiarity with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow
• Experience with additional languages such as C#, Java, or Scala is a plus

#LI-BR1

We are looking for a Senior Cybersecurity Engineer to architect and implement technical security controls for our grid-connected energy portfolio. As we scale our operations, we need a hands-on engineer to secure the entire data lifecycle - from the industrial control systems (OT) at the edge, through the cloud telemetry pipeline, to the corporate dashboards.

This is a builder role. You will be responsible for deploying and managing our core security infrastructure - specifically Wazuh and Authentik - to secure our AWS environments and operational field assets. You will work directly with control systems engineers and DevOps teams to build security into our backbone.

Responsibilities will include: 

Cloud & Infrastructure Security

• Cloud Architecture: Secure the AWS infrastructure that hosts our energy management platforms. Implement hardening baselines and manage security groups for cloud resources
• SIEM & Observability (Wazuh): Architect a centralized and on-prem SIEM deployment to ingest logs from CloudTrail, VPC Flow Logs, and Linux servers. Configure custom decoders to detect threats across both cloud and on-prem environments
• Infrastructure as Code (IaC): Review and secure Terraform/CloudFormation scripts. Manage security configurations (including Wazuh agents and Authentik outposts) via Ansible or similar automation tools
• IoT/Edge Security: Secure the telemetry pipeline from the edge device (site controller) to the cloud, ensuring encryption (TLS 1.2/1.3) and proper certificate management (PKI) for edge

Identity & Access Management (IAM)

• Unified IAM (Authentik): Architect Authentik as the central Identity Provider (IdP), enforcing MFA and SSO across cloud consoles, internal engineering tools, and Grafana dashboards
• Least Privilege: Engineer granular IAM roles for cloud resources and service accounts, ensuring that automated services have only the permissions necessary to function

Operational Technology (OT) Security

• Network Segmentation: Design and implement IEC 62443-aligned network architectures (Purdue Model), strictly controlling traffic between the IT, Cloud, and OT zones
• Vulnerability & Integrity Monitoring: Deploy Wazuh agents on industrial PCs and HMIs to perform File Integrity Monitoring (FIM) and vulnerability scanning without disrupting critical real-time processes
• Industrial Protocols: Analyze and secure communications (Modbus, DNP3) to ensure integrity between field assets and control centers

Requirements:

• 5–8 years of technical cybersecurity experience, with a specific blend of Cloud/Linux Engineering and OT/Industrial exposure
• Proven experience working with industrial control systems (ICS), SCADA, or utility/energy infrastructure
• Deep expertise in securing Linux-based cloud environments and managing infrastructure via code
• Comfortable debugging a failed Wazuh agent on a Linux server or tracing a dropped packet in a cloud VPC
• Tailoring flexible open-source tools to fit specific architectural needs rather than relying solely on "black box" commercial vendors

Technical stack proficiency: 

• Wazuh: Deep experience deploying managers/agents, writing custom rules/decoders, and tuning FIM/SCA modules for low-noise environments
• Authentik: Experience configuring Providers (OIDC, SAML), Outposts, and proxying legacy applications
• Cloud Platforms: Proficiency with AWS (GuardDuty, IoT Core, IAM) or Azure (Defender for IoT, Entra ID)

Preferred experience:

• Experience with Docker/Kubernetes security in an edge computing context
• Knowledge of industrial protocols (Modbus TCP, DNP3, IEC 61850)
• Certifications: GICSP, GRID, AWS Certified Security – Specialty