About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

We're looking for a Principal Software Engineer with deep roots in adtech infrastructure and a genuine conviction about what AI-native engineering looks like in practice. This role is backend-focused at its core — you'll work on the systems that power our exchange, from bid request processing and traffic shaping to data pipelines and auction logic. But we're also at an inflection point in how we build software, and we want this person to help lead us through it.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Java, Kafka (Redpanda), AWS, Databricks, Datadog, ONYX.

What you'll be doing:

• Own the design and evolution of backend systems that operate at exchange scale — high throughput, low latency, always on
• Lead architectural decisions across auction infrastructure, bid processing, traffic shaping, and supply-side integrations
• Establish and champion AI engineering practices across the team — from prompt engineering and RAG patterns to agentic workflow design and LLM evaluation
• Identify high-leverage opportunities to apply AI in our adtech stack: traffic scoring and filtering, bid shading, yield optimization, anomaly detection, and automated decisioning
• Set standards for how we evaluate, trust, and operate AI-powered systems in production — including observability, fallback behavior, and model governance
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance

A successful candidate will have:

• 10+ years of software engineering experience, with a strong backend track record
• 5+ years working specifically in adtech infrastructure — SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Experience building and operating systems at exchange scale — high QPS, strict latency budgets, fault tolerance
• Demonstrated experience leading AI or agentic engineering efforts in production environments — not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Strong distributed systems fundamentals: messaging, caching, service architecture, observability
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn't the right tool — and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Hybrid #LI-Remote

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

We’re looking for a Principal Software Engineer (Data) with deep roots in adtech data infrastructure and a genuine conviction about what AI-native data engineering looks like in practice. This is a specialized principal-level engineering role — one that carries all the architectural ownership and technical leadership expectations of a Principal Software Engineer, focused on Sovrn’s Data Collective.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Python, Pyspark, Kafka, Databricks, AWS

What you'll be doing:

Data Platform & Architecture

• Own the design and evolution of data platform systems that operate at exchange scale; high throughput, real-time streaming, and always-on batch pipelines
• Lead architectural decisions across data infrastructure: pipeline design, data modeling, lakehouse architecture, and data services layers
• Specify data platform components and configurations required for pipeline implementation; define pipeline observability to understand and improve performance at massive scale
• Research, implement, and evolve methods to process and democratize data across the organization
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end

AI & Agentic Engineering Leadership

• Establish and champion AI engineering practices across the team, from prompt engineering and RAG patterns to agentic workflow design, LLM evaluation, and progressive implementation of agentic design patterns
• Identify high-leverage opportunities to apply AI in our data stack: intelligent pipeline optimization, anomaly detection, automated data quality, forecasting, and LLM-powered data services
• Lead the evolution of our existing LLM and agentic tooling from passive use to intentional, well-architected integration within our data platform
• Set standards for how we evaluate, trust, and operate AI-powered systems in production, including observability, fallback behavior, and model governance
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it

Collaboration & Mentorship

• Provide domain expertise across the organization to enable business growth through data services and data models
• Provide counsel to all consumers and stakeholders of data to enable efficient and impactful use of our data assets
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance; foster a culture of innovation and continuous learning
• Operate with high autonomy across ambiguous, high-impact problems

A successful candidate will have:

• 10+ years of software engineering experience, with a strong data engineering and backend track record
• 5+ years working specifically in adtech data infrastructure, SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Excellent understanding of real-time streaming and batch pipelines, big data, and data lakes; hands-on experience in distributed data processing in the AWS ecosystem
• Strong understanding of second-layer big data platforms such as Snowflake and Databricks, applicable use cases, best practices, implementation, and support considerations
• Strong experience in structured, unstructured, and semi-structured data techniques; metadata management, data lineage, and data governance
• Experience with data security and compliance (PII, CCPA, GDPR, etc.)
• Demonstrated experience leading AI or agentic engineering efforts in production environments; not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, vector DBs, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Ability to clearly document and communicate architectural concepts at multiple levels; ability to lead problem definition, solution designs, and implementation work plans
• Understanding of DevOps and SRE practices
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn’t the right too, and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Remote, #LI-Hybrid

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

We are looking for a Senior Staff Software Engineer for Application Engineering. As a Sr Software Engineer on the Applications Engineer team, you’ll be part of a cross-functional team whose mission is to deliver real-world applications and value from the leap forward in computing enabled by quantum technology. 

We don't just build the world's best quantum computers - we apply cutting edge quantum computing tools to real world problems. Until now, our team of Applications Scientists have been building prototypes, working closely with our customers. Our new department, Applications Engineering, will ultimately help transform proven quantum computing use-cases pioneered by our scientists into production applications, making those innovations available to more people and businesses by packaging and deploying these tools as SaaS applications.

But first, we must mature existing proof-of-concept quantum code into production grade applications. As a hands-on team lead for a new engineering team, you will work on enhancing developer experience (DevEx) by applying best practices to research-grade code. You will also set up CI / CD pipelines, software packing tools, and pre/post flight tests for new algorithms as they go into deployment. Where possible you will also be in charge of optimizing and parallelizing traditional algorithms, to reduce pre-processing and post-processing workloads. You will spearhead a new team taking newly invented quantum applications, and turning them into well defined modules of reliable SaaS applications. Think of it as being a forward-deployed engineer for quantum computing applications; the strongest candidates will be generalists with wide-ranging interests. 

This team will work closely with Developer Tools, Infrastructure, and Product teams to solve problems by choosing the right technologies, and standardizing and automating those solutions. The right engineer will be comfortable working on refining chemistry simplification via Quantum Computing tool one quarter, and turning a novel quantum topology solver into a service the next - and love pair programming with scientists. They’ll bring the quantum expertise; you bring the deep and broad experience in classical programming.

Responsibilities:

• Partner with Application scientists to help deliver cutting-edge solutions for customers
• Elevate Applications code quality generally through architectural review, code review, standards, and best practices
• Improve Applications pace of delivery by creating CI / CD pipelines and other packaging automation, as well as test infrastructure and coverage
• Help productize computing code, especially improving data processing in pre-quantum and post-quantum processing steps
• Work closely with peers in Applications, Developer Tools, and Product teams to share best practices and feedback on internal tools
• Reporting to the Director of Application Engineering, help hire and mentor developers on the team

You’d be a good fit with:

• 12+ years of experience as a backend or full-stack developer, preferably in Python or Golang
• 5+ years of experience in setting up and maintaining CI / CD pipelines, in Github Actions, Jenkins, or similar tools
• 5+ years of experience in C/C++ or Rust
• 3+ years of experience in Docker, k8s, or similar containerization technologies
• A track record of shipping containerized applications that solve real business problems
• Previous work in scientific computing, quantum computing, or a related field
• Daily usage of augmented coding tools like Claude or Gemini 

You’d be a great fit with:

• 5+ years of experience in scientific computing, especially with data analysis using numpy, pandas, or similar
• Experience in HPC or performance optimization
• Experience in converting traditional algorithms into CUDA, OpenMP workflows, or similar parallelization experience
• Experience with workflow orchestration engines like Airflow, Dagster, or Temporal

Location: This position can work onsite or hybrid from our office in Bothell, WA; College Park, MD; or Boulder, CO
Travel: 5% for quarterly travel for collaboration 
Job ID:  1312

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

This is a hybrid role where office attendance in Denver is expected 2 days per week (Tuesday and Thursday). A $100 monthly transportation/parking stipend is provided.

About the Opportunity

Contentful is looking for a Software Engineer to join our Ecosystem product line with a primary focus on Marketplace. In this role, you will help build, maintain, and grow the systems, apps, and workflows that expand what customers can do with Contentful.

You will work across the Marketplace surface area and adjacent ecosystem tooling, helping us deliver high-impact apps, improve the contribution and review pipeline, and scale the ways internal and external developers build on top of Contentful. While Marketplace is the primary focus, this role should also be able to contribute across adjacent Ecosystem areas, such as Extensibility and Developer Experience, when priorities call for it.

This role is ideal for an engineer who is strong in front-end product work but not limited to it: someone who is comfortable moving between React surfaces, Node.js services, APIs, developer tooling, and production operations as needed. We are looking for a product-minded full-stack engineer who enjoys strong cross-functional collaboration and taking growing ownership of software through its full lifecycle in production.

We are also evolving how we build software. We increasingly use AI-assisted development workflows to accelerate delivery, reduce menial workload, and improve leverage across the software development lifecycle. We are looking for an engineer who is genuinely excited to experiment with these tools — not just adopt them passively, but bring strong engineering instincts to getting the most out of them.

 What to expect?

• Design, build, and maintain Marketplace features, apps, and supporting services that improve the experience for both app builders and app installers.
• Contribute to the systems and tooling that help Contentful teams and partners bring new apps and integrations to market faster.
• Contribute across adjacent Ecosystem problem spaces, including extensibility workflows, developer tooling, internal platform capabilities, and backend services that support developers building on Contentful.
• Improve contribution workflows, trust and safety checks, maintainability, and operational quality across Marketplace and ecosystem surfaces.
• Partner closely with product, design, and engineers across Ecosystem to shape solutions that solve meaningful customer and business problems.
• Help generalize, polish, and productionize internally-built apps and ecosystem contributions so they can be supported long term by Marketplace Engineering.
• Own software in production, including debugging issues, improving observability, strengthening reliability, and participating in support and operational responsibilities.
• Use AI-assisted workflows across planning, implementation, debugging, and documentation where they create real leverage.
• Help the team improve how we use AI in engineering by sharing practices, refining workflows, and contributing to a healthy engineering culture around quality and speed.

What you need to be successful

• Roughly 4-7 years of relevant software engineering experience
• Solid professional software engineering experience building and maintaining production systems.
• Strong experience with TypeScript and Node.js, plus solid experience building user-facing product surfaces in React or similar front-end frameworks.
• Clear strength in front-end engineering, paired with real comfort contributing to backend services, APIs, and developer-facing tooling rather than working exclusively in the UI layer.
• Experience designing and evolving APIs, integrations, and services used by other engineers, partners, or customers.
• Good judgment around reliability, maintainability, security, and technical tradeoffs in a product environment.
• Comfort working across the stack and across boundaries, from user experience to backend behavior to operational concerns.
• Strong communication and collaboration skills, including experience working cross-functionally and asynchronously across teams and time zones.
• A product mindset and real empathy for developers, partners, and customers.
• Practical experience using AI tools to improve engineering productivity, with the ability to evaluate outputs critically and maintain a high quality bar.

Nice to Have

• Experience with developer platforms, SDKs, app frameworks, marketplaces, extensibility products, or integration ecosystems.
• Experience with AWS, Terraform, Kubernetes, Cloudflare, or related cloud infrastructure.
• Experience maintaining or contributing to public or shared developer tooling.
• Familiarity with AI-native product surfaces, agentic workflows, or systems that connect software to external tools and services.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This position is not eligible for visa sponsorship. Applicants must be authorized to work without visa sponsorship by the start date of employment.

Salary Statement: The salary range displayed is specifically for potential hires who will work or reside in Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, the applicant’s skills and prior relevant experience, and certain degrees and certifications (e.g., JD/technology).

Salary Range: 136,000 - 184,000 [This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.]

This posting is open for 4 weeks from the date of posting.

Two Six Technologies, is building our team and looking for an experienced Automation Tester to support a new opportunity. This role will be primarily responsible for developing and maintaining automated end-to-end, integration and performance tests. 

Responsibilities Include:

• Performs software product testing and investigates possible causes of problems
• Performs manual testing as stop-gap for automated testing
• Develops functional, end-to-end, regression, and performance tests in automated test environments
• Detects and writes software bug reports and feature requests
• Understands, reproduces, troubleshoots product defects and works with developers to determine the best resolution
• Assists in the planning and implementation of testing new features

What you will need:

• 2-5 years of professional software testing experience
• Strong proficiency in automated testing frameworks and methodologies
• Proven experience designing and implementing integration test suites
• Experience with REST API testing and validation
• Proficiency with Cypress or similar end-to-end testing frameworks
• Experience with CI/CD pipeline integration for automated tests
• Knowledge of test design patterns and best practices
• Experience with Git version control and collaborative workflows
• Understanding of software development lifecycle and agile methodologies
• Strong analytical and debugging skills
• Excellent written communication for test documentation and defect reporting
• Experience working collaboratively with development teams

Nice to haves:

• Strong programming skills in JavaScript/TypeScript
• Experience testing microservice architectures
• Familiarity with additional testing frameworks (Playwright, Selenium, Jest, Mocha)
• Experience with API testing tools (Postman, REST, Assured, Supertest)
• Knowledge of performance and load testing tools (k6, JMeter, Gatling)
• Experience with contract testing (Pact, or similar)
• Familiarity with testing in containerized environments (Docker, Kubernetes)
• Experience with test data management and mocking strategies
• Knowledge of accessibility testing (WCAG compliance, axe-core)
• Experience with visual regression tools
• Familiarity with backend technologies (go, Node.js, Python)
• Understanding of security testing principles
• Experience with test reporting and metrics dashboards
• Knowledge of behavior-driven development (BDD) frameworks (Cucumber, SpecFlow)
• Experience mentoring junior test engineers
• Familiarity with cloud test platforms (AWS/C2S) 

Security Clearance:

• Active TS/SCI required. Active TS/SCI w. Polygraph preferred. 

#LI-JS

The Role

We’re seeking a Senior+ Software Engineer to own and scale the backend systems powering our clinician-facing provider platform. While this is a full-stack environment, your focus will be primarily on backend services, APIs, and data pipelines that support clinician workflows, reporting, and internal tools.

You’ll work closely with product, design, and other engineers to deliver high-impact, production-grade systems. There’s also flexibility to contribute to front-end work (dashboards, report builders, internal tools), but the core of your impact will be in building robust, scalable backend systems.

What You'll Do:

• Design, build, and maintain backend services, APIs, and data models that power clinician workflows and reporting.
• Collaborate with front-end engineers to integrate backend functionality into dashboards, report builders, and internal clinical tools.
• Ensure reliability, scalability, and performance of data-rich applications
• Participate in system architecture discussions, code reviews, and knowledge sharing.
• Debug and troubleshoot issues across backend services and data pipelines.
• Partner with product and design to translate complex clinical requirements into technical solutions.
• Stay current with modern software engineering practices, especially in backend development.

Qualifications:

• 5+ years of professional software engineering experience, with strong backend focus.
• Expertise in Python, Node.js, or similar backend technologies.
• Solid experience with relational and/or NoSQL databases, data modeling, and API design.
• Comfortable owning backend features end-to-end, from database design to APIs and integrations.
• Experience building production-grade, data-driven applications.
• Familiarity with front-end frameworks (React, Angular, Vue) is a plus, but not required.
• Strong focus on code quality, maintainability, and documentation.
• Thrives in fast-moving, early-stage environments with greenfield projects.
• Experience building B2B SaaS or internal tools is a plus.
• Healthcare or regulated environment experience is a bonus, but not required.

What You'll Do 

1. Design and implement containerized microservices within an AWS environment (Lambda, ECS)
2. Lead the design of relational database schemas (Postgres), prioritizing query performance engineering and indexing strategies to handle large, readily available SDA datasets
3. Own the end-to-end feature development and integration of streaming and batch ETL pipelines
4. Familiarity with deploying ML models in production and adding instrumentation to monitor model performance
5. Help with architecture design and defining technical direction
6. Mentor and help develop other less experienced engineers 

What We Value:

1. Strong ownership mentality – you’ll lead technical execution and ensure your features make it from development to production
2. Accountable – The team knows they’ll be able to depend on you
3. Curiosity – We are solving the hardest problems in space and want to hear everyone’s voice to ensure we’re always innovating
4. Leadership – You will be on a small team and will be empowered to help grow the culture and influence technical direction 

Your Ideal Background:

Required:

1. 5+ years of full-time software engineering experience
2. Experience working in the defense/space industry
3. Comfortable working in a small, fast-paced Agile environment
4. Strong communication skills and ability to execute under uncertainty
5. Familiarity with one or more of the following: Machine Learning, SDA, Backend Development
6. Proficiency in Linux, Python, SQL, Docker, and AWS
7. Eligible to obtain and maintain an active U.S. security clearance 

Nice to Have: 

1. Experience instrumenting microservices with Observability (we use the LGTM stack)
2. Comfortable leading algorithm development across different SDA data modalities (EO, Orbital, RF, etc.) to solve problems such as anomaly detection, pattern-of-life modeling, or maneuver detection 

Compensation and Benefits:  

Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.  The anticipated salary range for this role is $150,000 - $190,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

*remote work will require an exception from the hiring team

The Role: 

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities:

Qualifications:

Preferred Skills (Nice-to-Have)

For residents of Denver, CO the annual salary range for this role is $152,000-$190,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of Denver, CO the annual salary range for this role is $100,000-$115,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

For residents of Denver, CO the annual salary range for this role is $189,000-$200,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Location: Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO)

Position Summary

Join our mission to transform our nation's healthcare system as a Senior Backend Software Developer. In this role you will assist in leading projects from design to delivery. Partner with product managers and designers to define requirements during discovery and planning. Collaborate with developers to deliver those requirements on time as new features or improvements to existing functionality. 

Why you’ll love working here

• We have a remote-first culture.
• You will make a tangible impact on society. Your code will directly improve healthcare experiences for millions.
• We are a late-stage startup with stability. We have startup energy with a focus on delivery, but healthy processes with a strong financial outlook that provides a sense of security. 

Position Responsibilities

In this role, you’ll combine technical leadership with hands-on coding to build scalable, high-impact healthcare technology. You will: 

• Exercise leadership over features from design to delivery. 
• Be a partner to product, design, and quality assurance team members. 
• Become a subject matter expert on your team’s products. 
• Provide technical support to cross-functional team members and stakeholders. 
• Expand Judi, our web-based enterprise health platform, using Python, AWS services, and other technologies. 
• Work in an Agile/Scrum environment. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Minimum Qualifications

We’re looking for someone who brings a mix of technical expertise, problem-solving ability, and collaborative spirit: 

• 7+ years of job-related experience.
• Desire to work at a health tech company.
• Strong Python (Flask / SQLAlchemy) experience.  
• Advanced PostgreSQL database knowledge (e.g., common table expressions, windowing functions, views, stored procedures, full-text or geospatial indexing).
• Experience with infrastructure as code using AWS, Terraform, or similar technologies.
• Experience writing unit tests.
• Git expertise and experience working in a mono repo.
• Able to demonstrate agency, urgency, and ownership over delivering quality work.
• Strong written and verbal communication skills.
• Previous Pharmacy Benefits Manager (PBM) experience is a plus.  

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

It’s not just about the tech; it’s about the people. At Career TEAM, we work to accelerate the human condition. Through our Career EDGE platform, we build enterprise software that changes lives across the United States—and that’s just the beginning.

As a Lead Software Engineer, you’ll help design, build, and maintain systems that transform and integrate data across platforms supporting government-funded workforce development programs nationwide. You’ll work with modern web technologies in a collaborative, Agile environment and contribute to software that has real-world social impact.

Specifically, What You Will Do
You will lead the design, development, and support of core platform services and applications using MongoDB, Node.js, Nest.js, and Next.js. On any given day, you’ll be architecting, building, and maintaining scalable systems that power our workforce development platforms and support users across the country.

Your work will include designing and developing modern web applications and RESTful services, improving system performance and scalability, and ensuring our platform remains reliable, secure, and maintainable as it grows.

As a technical leader, you’ll collaborate closely with engineers, analysts, product partners, and leadership to shape system architecture, define technical direction, and deliver high-quality solutions that meet both business and user needs. You’ll also mentor engineers, contribute to architectural decisions, review code, and guide engineering best practices across the teams.

As part of an Agile team, you’ll participate in regular Scrum ceremonies and have meaningful opportunities to innovate and make a real impact on the software we build.

Ideal Candidate Qualifications
● Bachelor’s degree in Computer Science, IT, Engineering, or equivalent practical experience
● Proficiency with JavaScript or TypeScript and backend development using Node.js
● Experience building APIs and services using modern frameworks (e.g., Nest.js, Express)
● Experience designing and architecting distributed or scalable systems
● Experience working with MongoDB or other NoSQL databases
● Familiarity with frontend frameworks such as React, Next.js, or Angular
● Understanding of RESTful services and data formats such as JSON and XML
● Familiarity with Docker, CI/CD pipelines, and cloud-based environments
● Experience mentoring engineers, conducting code reviews, and guiding technical best practices
● Strong analytical, problem-solving, and collaborative communication skills

About Career TEAM: Founded in 1996, Career TEAM, LLC is a private workforce development organization. Career TEAM’s outstanding record of accelerating the human condition has resulted in numerous honors:
● Named by Inc. Magazine as one of America's 500 fastest growing privately held companies
● Recipient of the US Chamber of Commerce Blue Chip Enterprise Award for innovation
● Featured by 60 Minutes, CNN, Money Magazine, Inc. Magazine and the British Broadcasting Network as an innovative, government funded solutions program
● Invited to the White House after being cited by the National Welfare-to-Work Partnership and National Alliance of Business as a top 10 US training provider

As a socially conscious organization, Career TEAM has found a healthy balance between for-profit innovation and community enrichment. Looking ahead, the organization will continue to close the nation’s opportunity divide with additional government-funded workforce sites; while also building staff capacity of workforce funding sources and industry providers. See www.careerteam.com for more information.

Career Team is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Background Check Requirements. Employment is contingent upon successful completion of a background check (including criminal, prior employment and education verification). Failure to
satisfactorily complete the background check may affect the application status of applicants or continued employment of current employees who apply for the position.

California Consumer Privacy Act ("CCPA"). Career Team is committed to complying with the CCPA and all data privacy and laws in the jurisdictions in which it recruits and hires employees. Career Team collects and uses Personal Information for human resources, employment, benefits administration, health and safety, and business-related purposes and to be in legal compliance. Below are the categories of Personal Information we collect and the purposes for which we intend to use this information:

Identifying information, such as your full name, gender, date of birth, and signature; Demographic data, such as race, ethnic origin, marital status, disability, and veteran or military status; Contact information, such as your home address, telephone numbers, email addresses, and emergency contact information; Dependent's or other individual's information, such as their full name, address, date of birth, and Social Security numbers (SSN); National identifiers, such as SSN, passport and visa information, and immigration status and documentation; Educational and professional background, such as your work history, academic and professional qualifications, educational records, references, and interview notes; Employment details, such as your job title, position, hire dates, compensation, performance and disciplinary records, and vacation and sick leave records; Financial information, such as banking details, tax information, payroll information, and withholdings; Health and Safety information, such as health conditions (if relevant to your employment), job restrictions, workplace illness and injury information, and health insurance policy information; Information Systems (IS) information, such as your search history, browsing history, login information, and IP addresses on the Company's information systems and networks; Biometric information, such as facial recognition, fingerprints, iris or retina scans, keystroke, or other physical patterns; and Geolocation data, such as time and physical location related to use of an internet website, application, device, or physical access to a Company office location.

The Company collects Personal Information to use or disclose as appropriate to:
(1) Comply with all applicable laws and regulations; (2) Recruit and evaluate job applicants and candidates for employment; (3) Conduct background checks; (4) Manage your employment relationship with us, including for: (a) onboarding processes; (b) timekeeping, payroll, and expense report administration; (c) employee benefits administration; (d) employee training and development requirements; (d) the creation, maintenance, and security of your online employee accounts; (e) reaching your emergency contacts when needed, such as when you are not reachable or are injured or ill; (f) workers' compensation claims management; (g) employee job performance, including goals and performance reviews, promotions, discipline, and termination; and (h) other human resources purposes; (5) Manage and monitor employee access to company facilities, equipment, and systems; (6) Conduct internal audits and workplace investigations; (7) Investigate and enforce compliance with and potential breaches of Company policies and procedures; (8) Engage in corporate transactions requiring review of employee records, such as for evaluating potential mergers and acquisitions of the Company; (9) Maintain commercial insurance policies and coverages, including for workers' compensation and other liability insurance; (10) Perform workforce analytics, data analytics, and benchmarking; (11) Administer and maintain the

Company's operations, including for safety purposes; (12) For client marketing purposes; (13) Exercise or defend the legal rights of the Company and its employees, and affiliates, customers, contractors, and agents; and (14) to comply with requirements of government

Location: Remote 

Position Summary: 

Our Scalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity. In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyond maintaining infrastructure, you'll architect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure—from application logs and metrics to distributed traces. You'll build production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, and optimize their systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. 

Position Responsibilities: 

In this role, you'll own the observability infrastructure that powers our engineering organization. You will:  

• Architect observability platform: Design, implement, and maintain the LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience.
• Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities.
• Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost.
• Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis. 
• Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics. 
• Balance cloud-native and open-source: Architect solutions that thoughtfully leverage both AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack, Quickwit) to optimize for cost, performance, and operational flexibility based on use case requirements. 
• Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure. 
• Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly. 
• Partner with engineering teams: Work directly with product teams to integrate observability into their services, establish logging and metrics standards, and instrument code effectively, serving as the observability subject matter expert. 
• Enable performance optimization: Provide the observability foundation that allows the Scalability team to identify performance bottlenecks, track optimization impact, and measure platform stability with data-driven insights. 
• Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices. 
• Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices. 
• Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning. 
• Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering or infrastructure engineering experience with demonstrated progression into technical leadership roles. 
• Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure. 
• Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services. 
• LGTM stack expertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale. 
• AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns. 
• SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena, DuckDB, or similar query engines for analyzing structured and semi-structured data at scale. 
• Cloud-native and open-source balance: Demonstrated ability to architect solutions leveraging both managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in. 
• Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines. 
• Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics). 
• Systems thinking: Deep understanding of distributed systems, microservices architectures, and the complex observability challenges they present. 
• Data at scale: Proven track record handling high-volume structured and unstructured logging data, identifying patterns, and building efficient search/query solutions that perform well under load. 
• Product mindset: Ability to build internal platform products that engineers love to use, with attention to UX, performance, and reliability. 

Preferred Qualifications: 

• Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go. 
• Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources. 
• Additional observability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms. 
• Advanced query languages: Deep expertise with PromQL, LogQL, SQL optimization, and query optimization for high-cardinality data. 
• Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3. 
• Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements. 
• Cost optimization: Track record of reducing observability costs while maintaining or improving capabilities (e.g., CloudWatch → S3/custom indexing migration). 
• Data pipelines: Experience with streaming data pipelines, ETL processes, or real-time data processing. 
• Distributed tracing: Deep knowledge of OpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures. 
• Git expertise and experience working in a mono repository. 
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 
• Experience building developer tools or internal platforms that improve engineering productivity. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

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.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

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 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.

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 Design award winner for inclusivity for 2025.

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

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

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 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 App of the Day.

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.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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

• Actively ship production code to the web products
• Work closely with your dedicated product team
• Participate in product discussions to shape the product roadmap
• Have the opportunity to work on new and exciting features that will impact millions of lives

An Ideal Candidate Should Have

• Experience. You've built and ship products that have scaled to thousands or millions of users
• Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Tech Stack: Vanilla JS, ReactJS, Redux, Firebase, Typescript

What We Offer

• A fast-growing environment where you can help shape the culture
• An entrepreneurial crew that supports risk, intuition, and hustle
• A hands-off approach so you can focus and do your best work
• The opportunity to make an impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

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 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.

The work: 

Design, build and configure applications to meet business process and application requirements. As the Java Developer, you will help us build Web and backend application/services for credentialing/case management system. Using Java/Spring based REST APIs along with a Web 2.0 framework and a continuous integration environment. You will join our team of developers building the next-generation of customer engagement systems for federal service agencies. 

Here's what you need:    

• Minimum of one (1) year of recent experience developing and implementing software solutions using AngularJS, HTML, CSS, JavaScript, Bootstrap and Java.
• 2+ years of Java development experience in order to build enterprise applications
• 1+ years experience with using Java development tools (e.g. Eclipse, JUnit, Git)
• Ability to report to the client site in Colorado Springs, Colorado (3x a week; Tuesdays/Wednesdays/Thursdays) 
• Active Secret Level Security Clearance

Bonus points if you have: 

• Experience in a large scale Federal IT Program
• Experience with SAFe Agile delivery framework 

Eligibility Requirements:

• US Citizenship required

#LI-modernengineering #LI-PublicSafety

#clearancejobs

Position Summary:

At EverDriven, we believe in self-empowered teams and developers that can take a product from concept to delivery. We are looking for a passionate Senior Software Engineer to build out backend applications and services. This person will work across our backend tech stack, building and extending services, APIs, and workflows that ensure safe and efficient student transportation for schools. The ideal candidate is passionate about building high-quality, innovative, and scalable products and can iterate rapidly. You’ll get the chance to build out multiple core capabilities for the product and be a driving force behind the evolution of our product.

Salary Range: $140,000 - $165,000/year, based on experience + bonus potential

Location - Greenwood Village, CO. 4 days in the office and 1 day remote.

• Deliver results on complex projects, including leading some projects end-to-end
• Architect, Prototype, develop and extend services and backend systems in support of our portals, mobile apps, internal tools, and external integrations.
• Assist with design and definition of business and system level services, APIs, and cross-platform user experiences using modern design principles and patterns
• Help to provide an accurate timeline and scoping estimations on engineering projects
• Deliver high-quality maintainable code
• Provide leadership in project architecture & code quality
• Contribute to a positive and productive team culture by supporting your team and mentoring junior engineers
• Follow agile/continuous integration engineering best practices

• 3-5 years of professional experience building high traffic websites with 2+ years of distributed applications experience
• Have a passion for technology and a drive to think out of the box
• Diverse experience with a broad range of technologies and services – some of our key technologies are Microsoft Azure, C#, Azure Cosmos DB, MS SQL Server/Azure SQL, Azure Service Bus, GraphQL, React/HTML/CSS
• Deep understanding of RESTful API patterns
• Strong understanding of modern design patterns, such as distributed systems, microservices, workflows & orchestration
• Solid knowledge of Data Structures and Algorithms
• Outstanding written and verbal communication skills
• Ability to work across environments and teams
• BA/BS in Computer Science or a related field preferred

• Medical, Dental, Vision insurance
• Virtual Doctor Visits with $0 Co-Pay
• Life Insurance (company paid)
• Short Term Disability Insurance (company paid)
• Long-Term Disability Insurance (company paid)
• Flexible Time Off (FTO)
• Paid Holidays
• Paid Time to Volunteer
• Flex Spending Account (FSA)
• 401K Plan (with an awesome employer match!)
• Employee Assistance Program
• Employee Discounts Program

#LI-Hybrid 

Software Engineer II

Centennial, CO  ·  Full-Stack  ·  Backend Focus

Some engineers go deep on the server and never look up. Others gravitate to the client and lose interest the moment something touches a database. The engineers we're looking for do both — and they're more curious about the seam between the two than they are about either side alone.

At Alarm.com, a feature isn’t shipped until it runs end-to-end from server, through an API, and is accessible a homeowner's phone or browser. In this role, you'll help build all of it — with an emphasis on the server-side work that makes the rest possible.

THE ROLE

Alarm.com is one of the leading IoT platforms in North America. Millions of homeowners and businesses rely on our software to secure, monitor, and automate their properties — and our engineers help build and maintain the systems that make that happen at scale.

This position is on the Customer Experience (CX) team — a full-stack group embedded at the core of Alarm.com's mobile and web apps. CX owns the moments that matter most to customers: getting them up and running on the platform, giving them the tools to manage their accounts, and finding ways to make the overall experience smarter and more intuitive over time.

As a Software Engineer II, you'll own features end-to-end. That means designing the server-side logic, shaping the API contract, and then following the work into the client surfaces where users experience it — Android, iOS, or web. You won't be handed a spec and told to execute — you'll be expected to have opinions about how things should be built and to defend them.

If you're coming in strong on the backend and looking to deepen your client-side skills on one platform, this role is built for exactly that trajectory.

KEY RESPONSIBILITIES

• Design and implement server-side services and APIs that power features across Alarm.com's product ecosystem
• Own features completely: scoping, implementation, testing, deployment, and production verification
• Write clean, well-structured code that other engineers can read and maintain without explanation from you
• Design for the full problem — edge cases, failure modes, and error conditions, not just the happy path
• Contribute to client development on either Android, iOS, or web — you'll focus primarily on one platform, with exposure to others over time
• Participate in code reviews that meaningfully raise quality, not just catch style issues
• Collaborate across teams to define solutions that meet both business and technical needs
• Engage with the full development lifecycle, from early requirements through post-ship monitoring and support
• Bring your perspective to product decisions — we want engineers who think about what we're building, not just how
• Use AI tools where they genuinely improve your work — and share what's working with the team; we value engineers who are thoughtful adopters, not reflexive ones
• Other duties as assigned 

REQUIREMENTS

• Bachelor's in Computer Science, Computer Engineering, a related field, or equivalent work experience
• 2+ years of professional software development experience
• Strong object-oriented programming fundamentals: C# or Java experience is a plus
• Solid experience with SQL databases — schema design, query optimization, index strategy, and reading query execution plans
• Comfort with the full development lifecycle: writing tests, deploying safely, monitoring production health, and responding when things go wrong
• Curiosity about how the full stack works — genuine interest in following a feature from the server through to the client that delivers it

Don't check every box? That's okay — we'd still encourage you to apply. Strong engineers come from a lot of different paths, and we care more about depth of thinking and patterns of impact than a perfect resume match.

NICE TO HAVES

• Hands-on experience with at least one client platform: Android (Kotlin/Java), iOS (Swift), or a front-end framework such as React, Angular, Vue, or Ember — or a strong, demonstrated interest in learning one
• Familiarity with microservices architecture and distributed systems design
• Experience with event-driven architecture and messaging technologies (Kafka is a plus)
• Exposure to high-availability, high-throughput service design patterns

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

WHY WORK FOR ALARM.COM?

• Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the Alarm.com team!
• Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Community and Camaraderie: One of our core values is to 'Keep It Fun,' which to us means fostering a strong sense of community. Our culture is built on collaboration and connection, where we celebrate our successes and believe that a positive, engaging environment is key to doing our best work.
• Alarm.com values working together and collaborating in person. Our employees work from the office 4 days a week.

COMPANY INFO

Alarm.com is the leading platform for intelligently connected properties. Millions of homeowners and businesses rely on Alarm.com's technology to secure, monitor, and manage their environments from anywhere. Our comprehensive suite of solutions—including security, video surveillance, access control, active shooter detection, intelligent automation, energy management, and wellness—is delivered exclusively through a trusted network of thousands of professional service providers and commercial integrators across North America and worldwide. Alarm.com's common stock is traded on Nasdaq under the ticker symbol ALRM. Alarm.com delivers serious security for serious people.

For more information, please visit www.alarm.com.

COMPANY BENEFITS

Our total rewards package is designed to support you holistically—in your health, your finances, and your life outside of work. The package includes medical plans with company subsidies, a Health Savings Account (HSA) with a company contribution, and a 401(k) with an employer match. We encourage a healthy work-life balance with paid vacation that increases with tenure, paid holidays, wellness time, and paid maternity and bonding leave. To complete the package, we also provide company-paid disability and life insurance, all within a collaborative and casual work environment.

Alarm.com is an Equal Opportunity Employer

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:
Alarm.com understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with Alarm.com, please email your company information and standard agreement to RecruitingPartnerships@Alarm.com.

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 App of the Day.

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

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for Inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: 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.

Job Description  

We automate the most tedious parts of the data stack—so data arrives in the warehouse ready to query, transform, and power insight. No maintenance, no manual effort, just trusted data delivered at scale.

Today, thousands of the world’s most data-driven companies—spanning Fortune 500s to high-growth startups—rely on Fivetran to move billions of records daily and execute millions of transformations through our platform. With ever-increasing demand for data in AI and analytics workflows, we’re building the infrastructure to power the next generation of intelligent business.

About the Role

As a Product Manager on our Enterprise Platform team, you’ll shape the foundation that makes Fivetran scalable, secure, and extensible for thousands of enterprise customers. 

You’ll lead key initiatives across the platform–enterprise-grade security and governance, user and workspace configuration, and observability tooling—ensuring customers can confidently configure, govern, and scale Fivetran usage.

This is a high-impact, high-visibility role, perfect for product leaders who thrive on technical challenges, tight feedback loops, and opportunities to shape long-term platform strategy. You’ll balance usability and self-service with enterprise-grade requirements like scale, security, and governance.

This is a full-time position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Define and drive the vision, strategy, and roadmap for key platform features

• Partner closely with engineering and design to define and deliver robust, intuitive functionality that meets the needs of enterprise customers.

• Understand customer needs by engaging directly with users, analyzing feedback and usage data, and collaborating with support, sales, and solutions engineering.

• Drive cross-functional alignment and go-to-market readiness for major product launches.

• Stay on the pulse of trends in developer platforms, data infrastructure, and enterprise tooling—with an eye toward AI-first opportunities.

Skills We’re Looking For

• Product management experience in B2B SaaS or cloud platforms.

• A strong technical foundation—comfortable working on APIs, backend systems, developer tools, or security platforms.

• A track record of owning complex initiatives and delivering high-impact outcomes for technical users.

• Exceptional collaboration and communication skills across product, engineering, and go-to-market teams.

• Analytical mindset and comfort with ambiguity in a fast-paced environment.

• Ability to thrive in a fast-paced, high-growth environment.
   

Bonus Skills

• Familiarity with modern data infrastructure and tooling (e.g., ELT/ETL, dbt, Airflow, Dagster, Snowflake, Databricks).

• Experience with enterprise security and compliance standards (e.g., SSO, RBAC, audit logging, SOC2).

• Prior work on developer tools, SDKs, or extensibility platforms.

• Hands-on experience with cloud platforms (AWS, Azure, GCP).

• Prior experience in a startup or fast-paced environment.

#LI-HYBRID #LI-KM3

Staff Software Engineer

Most engineers optimize for the feature in front of them. Staff engineers optimize for the system that must keep delivering features two years from now — and they know the difference between a design that's clean on a whiteboard and one that holds up under real traffic, real teams, and real change.

We're scaling Alarm.com's customer experience platform through a significant architectural transition, and we need someone who has done this kind of work before — who knows how legacy systems accrue complexity, how to carve the right seams, and how to bring a team along for the journey without breaking what's already in production.

THE ROLE

Alarm.com is one of the leading IoT platforms in North America. Millions of homeowners and businesses rely on our software to secure, monitor, and automate their properties — and keeping that experience reliable, fast, and consistent at scale is a serious engineering challenge.

This position is on the Customer Experience (CX) team — a full-stack group embedded at the core of Alarm.com's mobile and web apps. CX owns the moments that matter most to customers: getting them up and running on the platform, giving them the tools to manage their accounts, and finding ongoing ways to make the overall experience smarter and more intuitive. The systems that back those experiences are growing in complexity, and we're actively working through an architectural evolution that requires strong technical leadership from within the team.

As a Staff Software Engineer, you'll define how the team builds — not just what it ships. That means setting the architectural patterns the team builds against, driving the decomposition of complex monolithic systems into maintainable services, and making sure the quality bar doesn't slip as the pace picks up. You'll also be a mentor and technical anchor: the engineer that others bring their hardest problems to, and trust to give them a straight answer.

This is a hands-on role. You'll still write code, lead design sessions, and stay close to production. The difference is that your decisions ripple outward — they shape how the whole team works.

KEY RESPONSIBILITIES

• Define the architectural patterns and technical standards for the CX team - your decisions become the baseline that others build against
• Lead the decomposition of monolithic systems into well-scoped, independently deployable services, with a clear migration strategy that keeps production stable throughout
• Design systems that absorb change - architectures that remain sound as requirements evolve and scale increases, not just ones that work on day one
• Drive high-leverage technical decisions: data modeling, API contracts, service boundaries, event-driven patterns, and infrastructure choices
• Identify architectural drift and technical debt before they threaten delivery, and build the case for addressing them
• Set and maintain standards for testing, observability, and deployment across the team's systems
• Conduct code and design reviews that raise the team's technical floor - teaching through feedback, not just approving or rejecting
• Collaborate with engineering managers and product managers to sequence technical investment alongside product priorities
• Stay close to the work: write production code, prototype solutions, and maintain enough hands-on involvement to lead with credibility
• Model effective use of AI tools across the team - identifying where they provide real leverage and helping the team build good instincts for when and how to apply them
• Other duties as assigned 

REQUIREMENTS

• Bachelor's in Computer Science, Computer Engineering, a related field, or equivalent work experience
• 7+ years of professional software development experience, with a demonstrated progression into technical leadership
• Deep, hands-on experience in systems design and backend architecture — you can show specific examples of systems you've designed, the tradeoffs you made, and how those decisions held up over time
• Experience designing and operating high-scale, high-availability services — systems where latency, throughput, and reliability SLAs are real constraints, not theoretical ones
• Meaningful experience with distributed systems: service decomposition, inter-service communication, data consistency, and failure isolation
• Strong object-oriented programming skills; C# or Java experience is a plus
• Deep SQL expertise — schema design for scale, query optimization, index strategy, and understanding how database bottlenecks surface at the application level
• Proven ability to lead technical direction in a collaborative environment — you know how to build alignment on architectural decisions, not just make them

Don't check every box? That's okay — we'd still encourage you to apply. Strong engineers come from a lot of different paths, and we care more about depth of thinking and patterns of impact than a perfect resume match.

NICE TO HAVES

• Direct experience leading or significantly contributing to a monolith-to-microservices migration — including the organizational and process dimensions, not just the technical ones
• Experience with event-driven architecture and messaging systems at scale (Kafka or similar)
• Familiarity with the customer experience domain: onboarding flows, account management systems, session management, or notification infrastructure
• Experience with Android (Kotlin/Java), iOS (Swift), or a front-end web framework — enough to engage meaningfully on client-side design decisions
• Experience building platforms or shared services that other engineering teams build against

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

WHY WORK FOR ALARM.COM?

• Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the Alarm.com team!
• Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Community and Camaraderie: One of our core values is to 'Keep It Fun,' which to us means fostering a strong sense of community. Our culture is built on collaboration and connection, where we celebrate our successes and believe that a positive, engaging environment is key to doing our best work.
• Alarm.com values working together and collaborating in person. Our employees work from the office 4 days a week.

COMPANY INFO

Alarm.com is the leading platform for intelligently connected properties. Millions of homeowners and businesses rely on Alarm.com's technology to secure, monitor, and manage their environments from anywhere. Our comprehensive suite of solutions—including security, video surveillance, access control, active shooter detection, intelligent automation, energy management, and wellness—is delivered exclusively through a trusted network of thousands of professional service providers and commercial integrators across North America and worldwide. Alarm.com's common stock is traded on Nasdaq under the ticker symbol ALRM. Alarm.com delivers serious security for serious people.

For more information, please visit www.alarm.com.

COMPANY BENEFITS

Our total rewards package is designed to support you holistically—in your health, your finances, and your life outside of work. The package includes medical plans with company subsidies, a Health Savings Account (HSA) with a company contribution, and a 401(k) with an employer match. We encourage a healthy work-life balance with paid vacation that increases with tenure, paid holidays, wellness time, and paid maternity and bonding leave. To complete the package, we also provide company-paid disability and life insurance, all within a collaborative and casual work environment.

Alarm.com is an Equal Opportunity Employer

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:
Alarm.com understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with Alarm.com, please email your company information and standard agreement to RecruitingPartnerships@Alarm.com.

About the Opportunity

We are seeking an experienced Senior Quality Engineer to join our dynamic engineering team.  In this role, you will be responsible for maintaining and confirming the quality of Cleerly’s products and ensuring they conform to and comply with company requirements, international standards, and federal regulations.  You’ll work on a team with developers, developers in test, quality engineers, program managers to identify issues with our software, track resolutions, participate in hazard mitigation and improve our testing methodologies on an ongoing basis.

Key Responsibilities:

• Develop test plans and test cases for product features
• Build complex data sets to be used in test
• Execute end-to-end manual system validation and exploratory testing 
• Test APIs and backend services for compliance to specifications
• Drive defect prioritization and perform impact analysis
• Participate in sprint planning and design meetings to help deliver quality at the earliest possible stage
• Act as a Quality Bar-Raiser for the engineering organization, including contracted QA staff.
• Collaborate with cross-functional teams to understand requirements and translate them into comprehensive test plans
• Continuously evaluate our testing workflow and drive improvements to increase efficiency and product quality
• Stay up-to-date with the latest trends and advancements in QA and share knowledge with the team
• Periodic on-call responsibilities to triage and rapidly escalate issues in our production environment reported by monitoring or customer support

Required Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or related field. Or equivalent work experience.
• 5+ years of experience in software quality engineering 
• Mastery in writing comprehensive test plans.
• Hands-on experience utilizing AWS Cloud Services or an equivalent enterprise cloud service provider.
• Familiarity with manual testing methodologies and test result tracking tools like TestRail.
• Expertise in issue tracking and project management tools like JIRA.
• Strong understanding of the software development life cycle and testing life cycle.
• Excellent problem-solving, analytical, and critical thinking skills.
• Ability to work collaboratively in a remote-first team environment and to communicate effectively with Product Managers, Engineers, and other stakeholders.

Impress Us More…

• Experience working in healthcare or another heavily-regulated industry.
• Experience working in a start-up environment.

Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences.

If you meet these requirements and are passionate about delivering high-quality software, we encourage you to apply for this exciting opportunity. Together, we can drive innovation and push the boundaries of what's possible.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $137,000 - $160,000
• TTC: $157,000 - $184,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You’ll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities

• Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features
• Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models
• Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products
• Research and stay up-to-date with industry trends around generative AI and machine learning
• Prototype product features to explore new AI capabilities and write clean, understandable code

What you’ll need

• Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).
• Interest or experience working with large language models (LLMs) and generative AI.
• Strong programming skills in Python

A bonus if you have

• Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
• Familiarity with vector databases.
• Additional programming skills in languages such as Java, Kotlin, or NodeJS.
• SQL knowledge.
• Interest in building user-facing products.
• Understanding of microservices architectures and distributed systems.

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Team Interview

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

We're looking for an Engineering Manager I to lead one of our autonomous feature squads. You'll own the day-to-day engineering leadership of a cross-functional team (1 PM, 1 Designer, 4–5 engineers) responsible for a meaningful area of the Shopmonkey platform. This is not a "project manager with an engineering title" role. You are technical, you are in the code, and you care deeply about how software gets built — not just that it ships. You won't be on the critical path for planned project work, but you'll be deeply involved in guiding your team through every phase of the SDLC: scoping, design, implementation, testing, release, and iteration. Your job is to make your team faster, sharper, and more effective — by coaching, unblocking, and identifying the gaps nobody else sees. You'll also contribute directly to the codebase. Not as a primary feature developer, but as a force multiplier — proactively improving code quality, tackling the work that falls between the cracks, and leading by example when it matters.

Our platform is built on two primary monorepos (backend and frontend) using TypeScript throughout. The stack includes React, Node.js, Next.js, Redux, and Redis on the application side; CockroachDB and ClickHouse for data; Synadia NATS for messaging; and GCP for infrastructure. We use OpenTelemetry and Prometheus for observability, with supporting services in TypeScript and Go. We don't expect expertise across all of these — we're looking for strong fundamentals and the ability to learn quickly.

What you will do:

• Lead a feature squad end-to-end: people, process, and technical direction.
• Own performance management for your engineers — regular 1:1s, growth conversations, honest feedback, and formal reviews.
• Partner closely with your PM and Designer to shape quarterly project plans that balance customer value, technical health, and business impact.
• Guide your team through the full SDLC — you should be competent and opinionated at every stage, from system design through production observability.
• Contribute to the codebase as a technical force multiplier: filling gaps, improving quality, and modeling engineering standards.
• Operate within our quarterly planning and 2-week cycle cadence, helping your squad maintain focus and predictability.
• Build and maintain a healthy remote-first team culture — clear communication, strong async habits, and flexibility balanced against team needs.
• Participate in hiring — sourcing, interviewing, and closing engineering talent for your squad and the broader org.

We are looking for people who have:

• 2+ years of formal engineering management experience, leading a team of software engineers through shipping production software.
• A strong technical foundation — you've built and operated production systems and can earn credibility with senior ICs through your technical judgment.
• Proven ability to coach and develop engineers across multiple levels.
• High emotional intelligence and communication skills. You navigate ambiguity, give hard feedback with care, and build trust quickly — especially important in a remote environment.
• Sound business judgment — you understand why the team is building what it's building, and you push back when priorities don't make sense.
• Experience working in cross-functional product teams (PM, Design, Engineering).
• Comfort with remote-first work across time zones. You value flexibility but put team needs first.

In the United States, the range is typically a salary of $145,000 to $180,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

About your role

Rocket Lawyer is seeking an experienced, passionate AI/ML software engineer for Rocket Copilot, our new AI assistant launched in December 2023. In this role, you will help our team deeply embed AI features across our platform. You will work in an agile, cross-functional team, working with multiple product teams as we build out AI features across Rocket Lawyer. You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others.

We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments. 

How you will make a difference day to day

• Build, train, fine-tune, deploy and maintain ML models for AI features
• Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models
• Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products
• Keep up-to-date with industry trends around generative AI and machine learning
• Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code

What you’ll need

• 5+ years of Experience writing ML code for launched products
• Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
• Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
• Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
• Strong programming skills in Python and SQL
• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience

Benefits & Perks

• Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
• Unlimited PTO
• Competitive salary packages
• Life insurance
• Disability benefits
• Supplemental Optional Life Insurance Benefits
• FSA Options Optional
• HSA with Company Match
• 401k program with Company Match
• Fertility Assistance and Planning options
• Wellhub & ClassPass fitness platforms
• Comprehensive Pet Insurance options
• Financial Wellbeing & Student Loan Program access
• Access to additional Mental Health & Wellbeing resources
• Pre-tax Commuter/Transit Benefits
• Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates 

Interview Process:

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Panel Interviews
• Final Interview

What You'll Do 

1. Understand needs for mission operations interfaces, telemetry formats, commanding, and current use cases.
2. Audit existing tooling to determine gaps in preparation for architecting and designing new ground software
3. Identify critical mission operations workflows and associate them with mission milestones
4. Train on console for upcoming mission operations 

What you will own in the next 30 days: 

1. Produce a cloud based design/ architecture on a scalable and resilient ground software 
2. Help create automated tooling to improve ground procedures
3. Define developer the culture around coding standards, testing, and procedures
4. Mentor junior engineers
5. Improve and own deployment processes through CI/CD
6. Help own and create roadmaps needed to meet program milestones

What We Value:

1. System level thinker understanding cloud based scalable micro service systems
2. Strong desire to build and design something from the ground up
3. Able to understand and communicate customer needs into actionable items
4. Someone who strives for clarity and understanding, but can make do without perfect requirements
5. An operations first developer and architect
6. Someone willing to produce code not just sit back and design
7. A passion for automation and creating systems that streamline operations
8. Someone able to clearly explain trade offs in design and architecture creating trade studies when needed 

Your Ideal Background:

Required:

1. 8-12+ years of cloud based scalable micro service architecture
2. 4+ years leading developers/ engineers  
3. Experience building entire ground stacks from the ground up
4. Experience in creating high reliability production-critical systems
5. Experience with new space companies not traditional primes
6. Owned the process and procedure for deploying, testing and integrating into a full life cycle system
7. Deep technical fluency in cloud, backend, frontend, and streaming systems
8. AWS Suite (EKS, MSK, Timestream, S3, Batch, Event Bridge), Python, C++, React, Tailwind, Redis, Kafka, influx, QuestDB, MongoDB, git, CI/CD, Docker, K8
9. Minimum bachelor’s degree in computer science or other related STEM fields
10. Master’s degree preferred  

Compensation and Benefits:  

Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.  The anticipated salary range for this role is $180,000 - $240,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Build AI-enabled applications leveraging LangChain and LLMs to deliver meaningful, production-ready outcomes for clients.
• Deep expertise in LangChain, LangGraph and LangSmith.
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require being in the Denver office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Denver base salary range for this role is $120,000 - $175,000.

As a Software Engineer at Checkr, you will work on high impact engineering projects that help build a fairer future for all. You will work in a collection of small services built on Ruby and Javascript, with both SQL and NoSQL databases, as well as message queues for asynchronous tasks. Checkr was founded by engineers for engineers; we want to create the best environment for developers to build, learn and love their work.

What you’ll do:

• Own the product development of features from design, implementation, to release
• Partner with product, design and other stakeholders in designing new features
• Collaborate with other engineers in architecting and implementing new features
• Design, develop, test, deploy, maintain, and improve our products
• Deliver performant, reliable, scalable, and secure code capable of supporting hundreds of thousands of transactions a day
• Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
• Bring a customer-centric, product-oriented mindset to the table - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features
• Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP
• Quality mindset - you insist on quality as a critical pillar of your software deliverables
• Develop new end to end web applications
• Instrument and deploy new product experiments with a data-driven mindset

What you bring:

• 2+ years of full stack software development experience
• Proficiency in Ruby and Javascript (or similar languages/frameworks)
• Proficiency with test frameworks and automation (e.g. Cypress)
• Passionate about XP practices, Domain Driven Design, and Continuous Delivery
• Experience developing RESTful APIs
• Bonus points for experience with in-house component-based design systems
• Strong documentation skills
• A strong sense of ownership from feature design through production release
• A desire to collaborate with external stakeholders
• An eagerness to learn, collaborate, improve, innovate, and have fun
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What you’ll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

Position Overview:

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.

You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.

Responsibilities:

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

Qualifications:

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.

Bonus Points

• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Position Overview:

We are looking for a Senior Full-Stack Engineer to join the team building Nova’s agentic experiences within the Iterable platform. This team is responsible for the full end-to-end development of conversational and agent-driven workflows, including the interaction surfaces, orchestration layers, and core platform integrations that make these experiences seamless and intuitive for users.

In this role, you will work across the stack to build both frontend and backend components that bring agentic capabilities to life. You will collaborate closely with design, product, and engineering partners to deliver high-quality, user-centered features. This position is well-suited for someone who enjoys solving complex product and technical problems, can navigate ambiguity, and brings a strong sense of ownership to their work.

Responsibilities:

• Build and iterate on the frontend and backend components that power agentic user experiences.
• Collaborate with design and product teams to create intuitive, conversational interaction patterns.
• Work across the stack to integrate frontend workflows with backend services, platform APIs, and internal tooling.
• Contribute to the evolution of underlying frameworks, including agent workflows and supporting infrastructure.
• Participate in architectural and design discussions to ensure solutions are scalable, maintainable, and aligned with product goals.
• Write high-quality, well-tested code and help refine engineering standards and best practices.
• Debug production issues, improve observability, and contribute to system reliability.
• Partner with other engineers to deliver features from concept to production, including technical design, implementation, testing, and rollout.

Qualifications:

• 5+ years of experience building full-stack applications in production environments.
• Strong proficiency with TypeScript and experience working across both frontend and backend systems.
• Experience with modern frontend frameworks (React preferred) and backend application development.
• Ability to design clean, maintainable APIs and internal interfaces.
• Strong collaboration skills and comfort working closely with product and design.
• Ability to operate independently, manage ambiguity, and drive work to completion.
• Interest in building intelligent, agent-driven experiences, even without prior LLM experience.

Bonus Points

• Experience contributing to or building internal frameworks or developer tooling.
• Familiarity with agent frameworks, agentic patterns, or LLM tool-calling workflows.
• Strong intuition for UI/UX quality in interactive interfaces.
• Experience with observability, performance tuning, or production debugging at scale.
• Experience with event-driven or distributed systems.
• Prior experience working in remote-first engineering environments.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

We are looking for an Engineering Manager to lead the team responsible for building agentic experiences and integrating AI-powered capabilities into the core Iterable application. This team owns the application-facing development that turns emerging AI capabilities into reliable, usable product features.

In this role, you will guide a group of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces. You will balance people leadership with strong technical judgment, helping the team deliver high-quality features while navigating ambiguity and evolving requirements in a fast-moving product area. This role sits within the broader Nova initiative and plays a key part in shaping how intelligent experiences appear across the Iterable platform.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

How You Will Make a Difference:

• Lead and support a team of engineers building agentic and AI-enabled product experiences.
• Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
• Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
• Ensure AI-powered features are reliable, observable, secure, and ready for production use.
• Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
• Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
• Coach and mentor engineers, supporting career growth and healthy team dynamics.
• Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals.
• Contribute to hiring and onboarding as the team grows.

We Are Looking for People Who:

• Have at least 5 years of hands-on software development experience.
• Have at least 3 years of experience managing and growing software engineering teams.
• Strong background in application or platform engineering, ideally in a SaaS environment.
• Experience leading teams that integrate AI or ML-powered capabilities into production systems.
• Comfort operating at the intersection of product, platform, and data science teams.
• Strong technical judgment across system design, APIs, distributed systems, and developer workflows.
• Experience working with modern backend and frontend stacks.
• Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives.
• Excellent communication skills and ability to align technical work with business and product goals.

Bonus Points:

• Experience leading teams building agentic or LLM-powered product experiences.
• Familiarity with agent frameworks such as Mastra or similar orchestration tools.
• Prior work on decisioning engines, rules engines, or real-time personalization systems.
• Experience collaborating closely with Data Science and ML teams on production integrations.
• Background in marketing technology or customer engagement platforms.
• Experience scaling teams and systems in a remote-first environment.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $156,000 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Account Executive, Focused Labs

Who We Are:

Focused is a boutique software consultancy that builds custom AI agents that integrate with existing systems and actually work in production. When Focused first started, we partnered with enterprises like Hertz and PODS to modernize backend systems. Today, we’re all in on AI. We strategically partner with our clients, acting as an extension of their teams to build scalable, maintainable solutions.

We have two key partners: LangChain and Honeycomb. We are LangChain’s official boutique implementation partner. As a strategic partner, we augment customer teams, upskill them, create experts, and then move on. We want customers to own their agentic efforts.

Focused has two co-founders. They are technical, opinionated and deeply involved in sales and delivery.

You’ll love this role if:

• You understand relationship based selling. You’ve sold professional services before and enjoy the long sales cycles and relationship building.
• You have built or scaled channel partnerships and can think strategically about co-selling. You know how to build relationships with partner teams, getting them to understand how to position Focused.
• You are energized by building something from scratch, rather than executing a proven playbook.
• You have experience working as a sales team of one, and thrive in ambiguity.
• You have experience working closely with founders and c-suite executives to get ideas in motion.

You won’t love this role if:

• You need structure, process, and a detailed playbook before you can operate
• You want a buffer between you and the effort it takes to build meaningful pipeline
• You get defensive when someone challenges your ideas (we challenge each other kindly and often)
• You're used to SDRs feeding you qualified leads (you'll be generating most of your own pipeline)

Why Join Focused?

• Strategy: You get to own strategy for the different sales motions at Focused. You will shape how Focused grows and expands.
• Founder Access: You get to work directly with our CEO and founder. If you want to influence strategy, you actually can.
• Ownership: you’re not AE 120 out of 250. You're the person building our partnership strategy. Your ideas actually shape company direction. When something works or doesn’t, you own it.

What you’ll do

• Generate net new revenue from outbound and/or partnerships motions
• Find creative, practical, and flexible ways to solve difficult problems by using available resources, adapting to changing circumstances, and thinking outside the box when straightforward solutions aren’t available
• Meticulous communication skills with customers and internal teams, including updating slack channels and Hubspot with key information
• Own and manage the full sales lifecycle, from lead stage to close
• Own partnership strategy, building a repeatable playbook
• Understand prospect need and fit. Coordinate technical scoping or discovery sessions with the Solutions Engineer and engineering team
• Create proposals and statements of work
• Work with marketing to drive top of funnel activity for new logo acquisition and existing customer expansion 

Base salary may vary depending on location and previous experience. The base range for this role is $120,000 - $150,000, with uncapped commission 

The Role:

The Datacor Engineering Software Group (DESG) is seeking a highly skilled and self-motivated senior-level Software Engineer with a strong computer science foundation and deep experience in the .NET ecosystem, WPF, and MVVM.

You will play an instrumental part in implementing our next-generation architectural platform and UI across the Flow Team’s industry-leading products Fathom, Arrow, Impulse, and xStream, ensuring clean separation of concerns and driving modernization across our tech stack.

You will also contribute broadly across the codebase: developing new features, improving system design, diagnosing complex defects, and strengthening long-term architectural health. You will work autonomously when needed while also collaborating closely with engineers in both software and mechanical engineering domains.

Responsibilities:

Architecture & Modernization

• Contribute to the design and implementation of an MVVM-based architecture that improves modularity, separation of concerns, and testability.
• Design and develop modern WPF interfaces aligned with updated UX principles.
• Influence architectural decisions supporting the next generation of pipe flow simulation applications.
• Evaluate design options, identify tradeoffs, and ensure long-term maintainability and performance.
• Promote consistency in design patterns and engineering standards across the codebase.

Execution & Delivery

• Implement core product features end-to-end across UI, application logic, and relevant platform subsystems.
• Translate business and product requirements into clear technical specifications.
• Contribute to modernization initiatives including refactoring, optimization, and incremental clean-architecture adoption.
• Contribute to the evolution and upkeep of internal CI/CD systems and development automation.

Quality & Support

• Collaborate with QA on test strategy and help resolve escalated product issues.
• Diagnose complex bugs and performance issues across UI and backend boundaries.
• Improve code quality through reviews, documentation, and engineering best practices.
• Serve as an escalation point for Support on advanced technical issues.

Collaboration & Knowledge Sharing

• Work closely with developers, QA, Product Management, and domain experts in a highly collaborative agile environment.
• Document designs and share knowledge across the team.
• Mentor peers and help maintain a healthy engineering culture.

Qualifications:

Required

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 5+ years of experience in desktop software development.
• Strong proficiency in modern C# and the .NET ecosystem.
• Extensive experience with WPF, XAML, and MVVM in production applications.
• Experience developing Windows applications using Visual Studio.
• Experience working in large, legacy codebases with established architectural patterns.
• Strong debugging and problem-solving skills for complex, multi-module systems.
• Effective communication with PM, QA, Support, and engineering peers.
• Ability to operate autonomously and deliver high-quality solutions from high-level requirements.

Preferred

• Experience implementing clean architecture or similar modular designs within legacy modernization efforts.
• Experience with WinForms.
• Experience with VB.NET.
• Experience with JSON data serialization.
• Background building engineering, scientific, or simulation software.
• Familiarity with performance optimization techniques in UI or computational workflows.
• Experience collaborating with UX designers or applying modern UI/UX practices.
• Exposure to CI/CD systems, build automation, and modern DevOps workflows.
• Experience mentoring engineers or contributing to architectural decision-making.
• Understanding of Windows system administration and desktop deployment considerations.

Hybrid Preferred (Colorado Springs, CO office) but remote candidates may be considered

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Build AI-enabled applications leveraging LangChain and LLMs to deliver meaningful, production-ready outcomes for clients.
• Deep expertise in LangChain, LangGraph and LangSmith
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You have experience leading engineering teams and feel confident mentoring and supporting other developers.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Mentored a junior dev through their first pairing and TDD session
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require being in the Denver office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Denver base salary range for this role is $175,000 - $250,000.