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.

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.

We are building a next-generation network connecting satellites, ground stations, and cloud infrastructure. This system must operate across dynamic, intermittent links and deliver data reliably into cloud-based workloads. We are looking for a Network Engineer to strengthen the systems deployed directly at our antennas, a set of servers and network devices installed on-site to receive, demodulate, and transport satellite data to the cloud.

This is a hands-on role working across routing, overlay networking, edge systems, and cloud connectivity. 

Your responsibilities will include: 

• Network Design & Architecture: Design L3 network topology across satellite, ground, and cloud environments, define IP addressing schemes, segmentation, and routing domains and model connectivity patterns and failure scenarios. 
• Routing & Connectivity: implement and operate dynamic routing, design route advertisement, filtering, failover strategies and handle intermittent and flapping connectivity. 
• Overlay & Secure Networking: build secure multi-hop paths, ensure encryption, isolation, and performance. Implement secure tunnel configurations (WireGuard / IPsec). Define and enforce SSH access policies, firewall rules and least-privilege communication. 
• Automation & Infrastructure: develop automation using Terraform/Ansible. Support scalable rollout and configuration management. 
• Operational Integration: Align networking behavior with satellite scheduling and design safe state transitions and failover scenario. Improve observability.

Qualifications: 

We’re looking for Senior Network Engineer with solid technical fundamentals and the drive to learn quickly working across architecture, implementation and troubleshooting with strong ownership and problem-solving mindset. 

Required Skills:

• Strong experience with IP networking and routing (advanced level)  
• Hands-on experience with BGP (design, operation, troubleshooting) and distance vector protocols. 
• Solid understanding of IP networking (routing, switching, TCP/IP, VLANs, MTU, complex NAT) and of Linux networking. 
• Experience designing and operating VPNs and tunnelling technologies in complex, distributed environments (WireGuard, StrongSwan, GRE + IPsec) 
• Experience with AWS networking (VPC, TGW, Cloud WAN, VPN) and edge or hybrid networking environments. 
• Understanding of overlay vs underlay networking. 
• Very strong experience with automation (Terraform, Ansible, or similar). 
• Strong interest in distributed systems, connectivity, or infrastructure engineering.  
• Ability to script or code in Python, Bash, or Go.  
• Ability to debug complex distributed systems. 

Nice to have 

• Exposure to satellite, telecom, or RF systems (non-essential) 
• Experience with hardware operations, rack installation, or cable management. 
• Familiarity with AWS or any cloud environment. 

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. _#LI-RK1

Spire is making a fundamental shift in how it operates its constellation. We are moving from a model where trained operators watch dashboards and escalate to experts, to one where the system is fully autonomous, self-healing, and data intelligent. This team is building that future, and this role sits at the center of it. 

The old model relies on operators, escalations, manual processes, and institutional knowledge locked in the heads of a few experts. It does not scale and it does not belong in a modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. 

You will be one of the engineers who makes that real. 

What You Will Work On  

Autonomous Operations: 

• Design and build fault detection, isolation, and automated recovery pipelines for satellites and ground stations
• Drive elimination of manual processes. If a human is doing it repeatedly, automate it.
• Build space situational awareness systems so the fleet always knows its own state
• Develop operational automation for mission execution at scale

Telemetry and Data Platform: 

• Architect and build a flexible data platform that ingests, stores, and surfaces telemetry from space and ground assets
• Build analytics and visualization tools that surface operational insight and not just raw data
• Apply ML and AI techniques to detect anomalies, predict failures, and optimize constellation performance
• Work directly with data at every layer from pipeline design to query

Reliability Engineering: 

• Define and instrument SLOs and reliability metrics for space and ground assets
• Build monitoring and alerting systems that know what matters and ruthlessly suppress noise
• Own configuration control and software rollout processes for on-orbit and ground assets

Mission Software: 

• Build real-time dashboards and operator tooling that make mission status immediately legible
• Collaborate directly with satellite operators and mission teams to turn operational pain into software solutions
• Design systems for automated mission execution including planning, scheduling, and commanding at scale

Basic Qualifications

• 5+ years of professional software engineering, SRE, or DevOps experience
• Strong Python skills across backend services, data pipelines, and automation. Not just scripts.
• Real experience applying data analysis to solve complex operational or technical problems, comfortable working directly with data at every layer from pipeline design to query
• Solid Linux fundamentals including bash scripting and basic system administration
• Experience with containerized development and production environments
• The communication skills to work across engineering, operations, and mission teams and translate real-world requirements into working software

Preferred Qualifications

• Experience with data backends such as Postgres, Redis, Elasticsearch, or S3
• Hands-on experience with Databricks or modern data Lakehouse tooling
• Experience building or operating monitoring and alerting systems such as Grafana, Prometheus, or Nagios
• Infrastructure as Code experience with tools such as Terraform or Ansible
• ML or AI applications in an operational or monitoring context
• Experience with Python data visualization libraries

Spire operates a hybrid work model, and this position will require you to work a minimum of three business days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. _#LI-MK1

Backend Software Engineer - Java at Capco

Location: Glasgow (Hybrid) | Type: Permanent

The Role

Capco is growing our Engineering team and we’re looking for experienced Backend Engineers with strong Java skills and a passion for delivering innovative solutions in financial services. If you enjoy solving complex problems, working with cloud-native technologies, and collaborating in agile teams, we’d love to hear from you.

As a Backend Engineer at Capco, you’ll contribute to high-impact, client-facing projects that shape the future of financial services. You’ll work alongside talented engineers, have access to industry-leading training, and get the opportunity to grow your skills across multiple platforms. You will also get the chance to work across different domains within FS & Energy.

This role will sit in our Scotland office, with a need to potentially work in either Glasgow or Edinburgh depending on client expectations.

What You’ll Do

• Build and deliver scalable backend services using Java (11, 17+)
• Design and implement APIs and microservices for enterprise systems
• Work across cloud platforms, particularly AWS, using best practice deployment techniques
• Contribute to architecture discussions and solution design
• Collaborate in agile teams alongside clients, product managers, and other engineers

What We’re Looking For

• Proficiency in Java and Spring Boot
• Experience deploying solutions into cloud environments (preferably AWS)
• Understanding of microservices, event-driven design, and cloud-native architecture
• Strong grasp of SQL and NoSQL databases
• Solid experience with CI/CD pipelines and DevOps tools

Bonus Points For

• Terraform, CloudFormation, or other infrastructure-as-code tools
• Experience with serverless functions (AWS Lambda, Azure Functions)
• Messaging systems like Kafka or RabbitMQ
• Familiarity with security protocols such as OAuth2 and SAML
• QA automation and integration with third-party platforms

Why Join Capco

You’ll be part of a team where your voice matters. We’re collaborative, non-hierarchical, and laser-focused on creating impact – for our clients and for you. At Capco, you’ll shape your career around your strengths, enjoy flexibility and trust, and work with people who genuinely care about your growth and wellbeing.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. 

• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders. 

• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. 

• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. 

• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. 

• Continuous Learning:  Your growth, your way - minimum 40 hours of training annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. 

• Healthcare Access: Convenient online GP services. 

• Extra Perks: Gympass(Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. 

Inclusion at Capco

We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. #BeYourselfAtWork is the cornerstone of our success and a value that our employees live and breathe every day.

#LI-DNI