About the Role

We are now expanding our engineering team and looking for a senior DevOps engineer. If you aspire to work on cutting-edge technologies and frameworks, side by side with some of the smartest technologists, this may be a unique place for you. You will be working as a part of a distributed agile team, building a new SaaS platform that underpins a suite of enterprise applications solving a variety of hard data analytics and enterprise problems.  You will be responsible for ensuring that the framework and products we develop meet the established design, implementation, and quality goals

What You’ll Do

• Be a part of a globally distributed team of operations team to design/develop/architect  Securiti’s core infrastructure 
• Write reliable, secure, performant, and fully automated deployment pipelines 
• Monitor platform performance and be on-call to address any urgent issues 
• Integrate new technologies into back-end cloud infrastructure 
• Evaluate and adapt new technologies where they provide value 
• Participate in on-call rotations as needed to monitor and act on alerts from Securiti’s infrastructure 

What You’ll Bring

• Minimum 2  years of experience developing software, with experience in cloud providers like AWS, Azure, GCP 
• Experience with writing infrastructure as code with relevant experience using tools like Terraform, AWS Cloud Formation 
• Experience with Container technologies like Docker and container orchestration systems like Kubernetes 
• Experience with continuous integration tools like Jenkins 
• Experience with configuration management, network request routing, blue/green or canary deployments, in-service software upgrade  
• Development experience with one of Python or Golang 
• Experience with Monitoring tools such as Prometheus, Grafana, WaveFront, Zabbix,, etc 
• Good knowledge of Linux and Bash scripting  
• Experience with SQL (Postgres) and NoSQL (Mongo/Elasticsearch) technologies  
• Knowledge and use of performance tuning, profiling,, and software metrics tools 
• Very strong diagnostic and troubleshooting skills 
• Proven ability to utilize creative thinking to solve complex engineering problems. 
• Experience with agile development methodologies is a must 
• Outstanding verbal, written,, and interpersonal communication skills 
• High level of energy, teamwork, can-do attitude, and willingness to learn new technologies 

What You’ll Get 

• Competitive compensation package
• Comprehensive health and wellness benefits
• Professional development opportunities

About the Role

You will be working as a part of a distributed agile team, building a new SaaS platform that underpins a suite of enterprise applications solving a variety of hard data analytics and enterprise problems. You will be responsible for ensuring that the framework and products we develop meet the established design, implementation, and quality goals.  

What You’ll Do

• Be a part of a globally distributed team of backend engineers to design/develop/architect Securiti’s core backend platform
• Help create architecture documents, functional specifications, design documents, and developer test plans
• Coordinate end-to-end development, deployment, and testing of new features and enhancements in the product
• Write reliable, secure, performant, and scalable code
• Perform code reviews and analysis
• Monitor platform performance and be on-call to address any urgent issues
• Work with customer support and address customer issues
• Integrate new technologies into back-end cloud infrastructure

What You’ll Bring

• Minimum 7 years of experience developing software, with some experience using container technologies like Docker
• Experience in building highly available and scalable distributed systems for the cloud
• Strong conceptual understanding of multi-threaded applications
• Professional development experience in GoLang, Java, C++, or Python
• Good knowledge of Linux and bash scripting 
• Good software development practices: should thrive in an environment of rapid development, peer code reviews, and write good functional/unit tests
• Experience with microservices and REST-based HTTP/2 architectures
• Experience with SQL (Postgres) and NoSQL (Mongo/Elasticsearch) technologies 
• Knowledge and use of performance tuning, profiling, and software metrics tools
• Very strong diagnostic and troubleshooting skills
• Proven ability to utilize creative thinking to solve complex engineering problems
• Understanding of continuous integration tools, including Jenkins
• Experience with agile development methodologies is a must
• Outstanding verbal, written, and interpersonal communication skills
• High level of energy, teamwork, can-do attitude, and willingness to learn new technologies
• Working knowledge of networks and web concepts

Bonus Skills

• Experience with cloud platforms such as AWS, GCP, and Azure
• Experience with Containerisation technologies (Kubernetes, Docker) 
• Experience with tools like terraform, helm, docker
• Understanding of Network Services such as Load-Balancers, Security, QoS 
• Understanding of platform level concerns, such as configuration management, network request routing, blue/green or canary deployments, in-service software upgrade 
• Experience in building API based connectors to cloud-based SaaS services is a big plus

What You’ll Get 

• Competitive compensation package
• Comprehensive health and wellness benefits
• Professional development opportunities

What You will do (Responsibilities) :

• Build, test, and deploy AI agents across Finance, Credit, Procurement, and Operations.
• Convert business workflows into production-grade models and automated pipelines.
• Integrate LLMs with internal systems and data sources.
• Work with Product and Engineering to deliver measurable efficiency gains, accuracy improvements, and adoption.
• Maintain model quality, observability, and versioning.
• Ensure compliance with PDPL and internal security standards.

Who You are (Qualifications) : 

* Strong Python
* Experience with LLMs and vector stores
* Experience with model evaluation, fine-tuning, and prompt engineering
* Building and deploying AI services on cloud platforms
* Strong data skills
* Knowledge of workflow automation
* API design and integration
* Understanding of security, PDPL, and responsible AI handling
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, Pinecone or equivalent vector DB, PostgreSQL, GitHub, Docker, Terraform, n8n or similar workflow tools, basic GCP or AWS services for deployment and monitoring

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
• Attractive compensation package
• Access to tools helping with your learning and development
• Product first mindset
• The best idea wins; we are all ears when it comes to ways to do things better
• Exciting stock options 

About the Role

We’re seeking a technically fluent Customer Engineer to join our Engineering organization and serve as a critical link between Engineering and Go-to-Market (GTM) teams, including Sales Engineering, Professional Services, and Enablement.

This role is embedded within the Development organization, and focuses on helping the GTM teams understand, configure, and support deployments of our Data Security Posture Management (DSPM) platform. While the role is not directly customer-facing, it requires a deep understanding of the product and underlying technologies to ensure field teams are well-supported during pre-sales and post-sales phases.

This is an excellent opportunity for someone with a strong technical foundation who wants to stay close to the technology, without being in a traditional coding role.

What You’ll Do

• Act as a technical liaison between the Engineering team and GTM teams (Sales Engineering, Professional Services, etc.), enabling them with the product knowledge, tooling, setup and deployment support they need.
• Work closely with Engineering to understand new features, deployment requirements, and system behaviors, and translate them into actionable documentation, enablement content, demo environments and tooling for internal teams.
• Assist in internal setup and deployment of DSPM components (Kubernetes-based microservices, data connectors, APIs), and help validate internal staging/demo environments.
• Help develop internal technical resources such as playbooks, integration guides, architecture diagrams, and field enablement materials.
• Support the Go-to-Market team with API usage, scripting (e.g., Python), and basic troubleshooting, particularly during proof-of-concept or pilot phases.
• Read, interpret, and sometimes modify basic code or configuration files to help debug issues or support integration efforts.
• Validate deployment workflows across cloud platforms (e.g., AWS, GCP, Azure) and ensure alignment with field practices.

What You’ll Bring

• 3+ years of experience in a technical role within an engineering or product-focused organization (e.g., dev support, sales enablement, QA, technical consulting).
• Strong understanding of modern cloud-native stacks, including:
  - Kubernetes and containerized services
  - Cloud infrastructure (AWS/GCP/Azure)
  - Data infrastructure (e.g., SQL, data lakes, data warehouses)
  
  
• Comfort with basic scripting in languages like Python or shell scripting for automating setup, working with APIs, or testing integrations.
• Ability to read and understand application code (e.g., Python, YAML, or JSON configurations) to support basic troubleshooting and deployment workflows.
• Strong communication skills and ability to synthesize technical concepts for internal enablement and cross-functional understanding.

Bonus Skills

• Familiarity with DSPM, CSPM, or adjacent data security and privacy tools
• Prior experience in Sales Engineering enablement, solution delivery, or product support roles.
• Experience with or exposure to DevOps tools such as Helm, Terraform, Docker, and CI/CD pipelines.
  Exposure to compliance or risk management concepts (e.g., SOC 2, GDPR).
• Experience working in fast-paced, high-growth environments or with distributed technical teams.

What You’ll Get 

• Competitive compensation package

• Comprehensive health and wellness benefits

• Professional development opportunities

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.

What You will do (Responsibilities) :

• Lead end-to-end ML development across BRKZ. Build and deploy production models, LLM agents, and data-driven workflows that improve accuracy and cut manual work across Finance, Credit, Procurement, and Operations.
• Scope problems with Product and Ops, size impact, and turn workflows into measurable gains.
• Cover full-stack ML engineering and applied data science: data analysis, feature engineering, modelling, evaluation, and monitoring.
• Own model lifecycle, reliability, and PDPL compliance. 
• Guide standards for data quality and ML practices. Mentor ML and AI engineers.

Who You are (Qualifications) : 

* Expert Python and ML engineering.

* 5 to 8 years in ML engineering or applied AI with delivery in production environments
* Strong with LLMs, embeddings, RAG, and classical ML models.
* Skilled in data analysis, feature engineering, and evaluation.
* Experience building and scaling pipelines.
* Strong cloud deployment background.
* Able to quantify business impact and guide decisions.
* Strong communication and mentoring ability.
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, TensorFlow or PyTorch, Scikit-learn, Pinecone or equivalent vector DB, Airflow or Prefect, GitHub, Docker, Terraform, PostgreSQL, BigQuery, n8n or similar workflow tools.

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
• Attractive compensation package
• Access to tools helping with your learning and development
• Product first mindset
• The best idea wins; we are all ears when it comes to ways to do things better
• Exciting stock options