June 17, 2026
Senior Software Engineer, Measurement & Reporting
Senior • On-site
153,996 - 219,996 USD/yr
Denver, CO , +1
On-site requirement: 4 days/week at the Manhattan or Denver office. No relocation support available.
The Opportunity
We are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. The team enables clients to visualize their impact across different verticals and empowers sales and operations teams to identify opportunities and address shortcomings during campaign execution.
You will design, build, and maintain large-scale data platforms and pipelines powering reporting, analytics, and AI-driven solutions. You will also contribute to the development of agentic AI applications that automate workflows and enhance operational efficiency, with occasional frontend work to deliver end-to-end solutions.
Responsibilities
- Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems.
- Build and optimize batch and real-time data processing solutions using modern frameworks and cloud-native technologies.
- Design and maintain data models, data warehouses, and data lakes.
- Develop and maintain integrations between internal and external systems.
- Build and enhance agentic AI applications using LLMs, AI agents, and orchestration frameworks.
- Collaborate cross-functionally to drive AI-powered automation and decision-making.
- Contribute to backend services and APIs supporting data and AI products.
- Occasionally develop frontend features and dashboards.
- Monitor, troubleshoot, and optimize data pipelines and AI systems.
- Implement data governance, quality checks, monitoring, and observability practices.
- Conduct code reviews and mentor junior engineers.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
- 5+ years of experience in data or software engineering.
- Experience building large-scale data pipelines and distributed processing systems.
- Proficiency in Python and SQL.
- Experience with modern data platforms (Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar).
- Strong understanding of data modeling, warehousing, and data lakes.
- Experience with relational and NoSQL databases.
- Familiarity with AWS, Azure, or Google Cloud.
- Experience building APIs and backend services.
- Familiarity with Generative AI, AI agents, RAG, and orchestration frameworks.
- Experience writing unit, integration, and end-to-end tests.
- Ability to coordinate with contractors while owning delivery quality.
Preferred
- Familiarity with AdTech.
- Experience with Scala/PySpark and distributed processing frameworks.
- Experience with Databricks and Delta Lake.
- Experience building production AI applications (LangGraph, LangChain, CrewAI, AutoGen, or similar).
- Familiarity with vector databases and semantic search.
- Experience with CI/CD and Infrastructure as Code.
- Experience with Docker and Kubernetes.
- Exposure to React, TypeScript, or modern JavaScript frameworks.
- Experience with observability, monitoring, and data quality tools.
Compensation
Compensation Range: $135K - $220K
- Tier 2: $135K – $192.5K + Bonus
- Tier 1: $154K – $220K + Bonus
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Los Angeles, CA
140,004 - 200,004 USD/yr
🏢 Summary: Software Engineer on the AI Data team responsible for building and operating large-scale audio data ingestion pipelines to support model training. The role focuses on sourcing audio data, extending cloud infrastructure on GCP with Terraform, and collaborating with scientists to optimize cost, throughput, and data quality at petabyte scale. This position directly powers next-generation AI-driven consumer and enterprise products. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of industry experience in software development, Proficiency in Bash scripting, Proficiency in Python, Experience working in Linux environments, Experience with Docker, Experience with Infrastructure-as-Code concepts, Professional experience with a major cloud provider, Strong communication skills (written and verbal) 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Cloud, Infrastructure-as-Code, Web, Data, AI 🏢 Description: Overview We're looking to hire for our Data side of our AI team. This role is responsible for all aspects of data collection to support our model training operations. We build high-quality datasets at petabyte-scale and low cost through 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 Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power next-generation models - Collaborate with others on the AI Team and Leadership to craft the dataset roadmap to power 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 (GCP) - Experience with web crawlers and 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, bonus, and equity depending on experience - A friendly and laid-back atmosphere with a commitment to building a strong asynchronous culture - Opportunity to work on a product used by millions of people - Work in the fast-growing intersection of artificial intelligence and audio
Technology

Speechify
Software Engineer, Data Infrastructure & Acquisition - Ithaca, NY, USA
Senior
On-site
Ithaca, NY
140,004 - 200,004 USD/yr
🏢 Summary: Software Engineer role on the AI Data team focused on building and operating large-scale audio data ingestion pipelines to support model training. The position involves developing cloud infrastructure on GCP, integrating new audio data sources, and collaborating with AI researchers to optimize cost, scale, and data quality. This is a high-impact role contributing to next-generation AI-powered consumer and enterprise products. 🗂️ Requirements: BS/MS/PhD in Computer Science or related field, 5+ years of industry experience in software development, Proficiency in Bash and Python scripting, Experience working in Linux environments, Proficiency in Docker, Experience with Infrastructure-as-Code, Professional experience with at least one major cloud provider, Strong written and verbal communication skills 📃 Skills: Python, Bash, Linux, Docker, Terraform, GCP, Cloud, Infrastructure-as-Code, Web-crawlers, Data-processing 🏢 Description: 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 Leadership to craft the AI Team's dataset roadmap to power 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 (GCP) - Experience with web crawlers and 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 salary, bonus, and equity depending on experience - Opportunity to work on a product used by millions of people - Work in the fast-growing sector at 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.
Technology

Aledade
Software Engineer I
Junior
Remote
🏢 Summary: The offer is for a Software Engineer I responsible for maintaining, improving, and expanding web applications and data pipelines in a healthcare-focused environment. The role involves building scalable full-stack solutions, collaborating cross-functionally, and applying best practices in observability, testing, and secure development. Candidates will contribute to technical roadmaps using Agile methodologies while working with modern web, cloud, and data technologies. 🗂️ Requirements: BS/BTech in Computer Science, Engineering or related field, 1+ year experience building full-stack web applications, 1+ year experience with SQL or database querying on large multi-table datasets, Experience working in cross-functional engineering teams, Ability to develop scalable and performant solutions 📃 Skills: SQL, HTML, CSS, JavaScript, React, Angular, Vue, Ember, Nodejs, Java, Python, Scala, C#, C++, Go, JVM, AWS, Azure, GoogleCloud, Docker, Kubernetes, CI/CD, APIs, MachineLearning, NLP 🏢 Description: Description: As a Software Engineer I, you will maintain, improve, and expand web applications and data pipelines. The role focuses on creating secure, maintainable, performant, scalable, and stable solutions to complex healthcare industry challenges. Engineers are expected to prioritize observability, alerting, metrics, high test coverage, and frequent incremental releases. Primary Duties: - Develop and implement scalable and performant solutions. - Partner with Engineering Managers, Product Managers, and stakeholders to develop and execute technical roadmaps using Agile processes. Minimum Qualifications: - BS/BTech (or higher) in Computer Science, Engineering or a related field. - 1+ years experience as an engineer building full-stack web applications as part of a cross-functional team. - 1+ years of experience working with SQL or other database querying language on large multi-table data sets. Preferred KSA’s: - Experience building full stack web applications in any language/framework. - Proficiency with CSS/HTML/Javascript and modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember). - Expertise in at least 1 server-side web technology (e.g., Nodejs, Java, Python, Scala, C#, C++, Go, JVM). - Familiarity with relational database systems. - Experience with API design and development. - Experience with cloud based technologies such as AWS, Azure or Google Cloud. - Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. - Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. - Experience with security and systems that handle sensitive data. - Proficiency in machine learning algorithms and techniques. - Experience in deploying machine learning models into production environments. - Expertise with statistical data techniques (such as causal inference, syntactic analysis, sampling methods, NLP), including working with incomplete or unrepresentative data. Physical Requirements: - Sitting for prolonged periods of time. - Extensive use of computers and keyboard. - Occasional walking and lifting may be required.