About the Role

Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users.

What You Will Be Doing

• Build testing infrastructure and tooling, including: AI test generation, test harnesses, API, hermetic test environments, load and performance frameworks
• Enable testability of systems and services.
• Build with modern tools and languages, including K6, Rust, and Go
• Refine best practices around making our systems and services high quality
• Participate in test planning and quality strategy reviews
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. We expect successful candidates to be delivering code a majority of their time

Qualifications We Need

• Strong Computer Science fundamentals
• 5+ years industry experience building and maintaining high-quality testing software, especially software other engineers use
• Strong understanding of Testing and Quality Engineering principles
• You drive Quality Culture and feel accomplished enabling others
• Desire to be a great teammate and have fun at work
• Strong sense of craftsmanship, and a healthy academic curiosity

Qualifications We Want (also, skills you’ll learn!)

• Experience with back-end testing frameworks
• AI Test Generation
• Integration, API, and contract testing
• CI/CD Testing Proficiency
• Multi-cloud experience (GCP, AWS, Azure)
• Startup experience

Additional Job details

The base salary range for this position is $170k - $240k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

The Test Engineering team within the Quality Engineering (QE) org is looking for a Senior Software Engineer who can work in a highly collaborative environment, design/develop tools, test frameworks, and define processes to help the teams to own and be accountable for quality. The mission of the Quality Engineering org is to enable quality in all engineering teams at Reddit by providing robust test tools and frameworks that help establish quality standards across the development pipelines.

Responsibilities: 

• Help in building an Engineering culture that enables quality in all software feature development teams across Reddit.
• Develop and evolve test automation frameworks, tools, and services.
• Analyze production issues, identify test gaps across the entire testing stack and make systemic improvements to automated testing
• Maintain test infrastructure stability in non-production environments.
• Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution.
• Influence the entire engineering organization on unit/integration/end-to-end tests.

Required Qualifications: 

• 5+ years of experience as an SDET, or as a Software Engineer for Android platform
• 3+ years in Android development
• Experience in designing and building scalable automated test frameworks, tools, and services for testing mobile applications
• Experience in writing, executing, and monitoring automated test suites using a variety of technologies such as Espresso and/or, UIAutomator using Kotlin.
• Preferred experience in JetPack Compose.
• Experience in unit, snapshot, and end-to-end testing of Android applications
• Experience in building test frameworks and automated tests for native Mobile applications 
• Strong understanding of CI/CD process and quality checks in the workflow.
• Strong understanding of QA methodologies for mobile applications releases. 
• Working proficiency and communication skills in verbal and written English.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Principal Quality Automation Architect

The Principal Quality Automation Architect designs and scales Accordion's automated quality framework across products, services, and AI-enabled workflows. This impactful role will be critical in owning the architecture behind automated validation, test harnesses, evaluation pipelines, test data strategy, and cross-pod tooling standards.

This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates).

This position is not eligible for immigration sponsorship.

What You’ll Do:

Automation Architecture

• Design and implement the core automation framework for functional, API, integration, regression, and workflow testing
• Define standards for reusable test assets, environment usage, data setup, and evidence capture
• Create scalable approaches to testing complex, multi-system workflows

AI Evaluation Infrastructure

• Build and maintain regression harnesses for AI-enabled features, including prompt and workflow comparisons, scored evaluation runs, and benchmark execution
• Partner with AI quality analysts to support rubric-based testing and measurable release criteria

Test Data & Environment Strategy

• Define approaches for test data, synthetic data, masked data, and scenario generation
• Improve reliability and repeatability of validation environments

Engineering Partnership

• Work closely with software engineers to improve testability, observability, CI/CD integration, and defect prevention
• Help pods move quality checks earlier in the development lifecycle

You Have:

• 7+ years of experience in QA automation, SDET, or quality engineering roles, with a focus on scale, repeatability, and leverage
• Strong experience with test automation frameworks, API testing, CI/CD, and integration validation – you are systems-minded and deeply technical
• Strong scripting or coding skills
• Experience working with data-intensive or workflow-heavy applications
• Exposure to AI or LLM validation tooling or strong interest in building in that space
• Ability to design frameworks, not just individual tests, and comfortability setting standards that others adopt
• Commitment to balancing sophistication with delivery pace
• Bachelor's degree preferred

You Are:

• Excited to be part of a growing team, with a focus on driving future growth
• Passionate about delivering exceptional client service
• Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO
• Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture
• Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing)
• A self-starter with a strong work ethic
• Full of entrepreneurial spirit and comfortable in a fluid, flat organization
• Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
• A team player, able to work with team members across all levels
• Someone who enjoys mentoring others and doing meaningful work
• A leader of others; you lead by example

The annual salary for this role ranges from: $150,000 to $190,000 + benefits + bonus.

Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-HA1

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

tvScientific is looking for a Senior QA Engineer for its Web Platform with strong expertise in web and API testing. This role requires a balance of manual testing excellence and automation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.

You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.

What you'll do:

• Own and drive quality for web platform features, spanning UI, APIs, and backend services
• Design and execute manual test cases and exploratory testing for complex web and API workflows
• Conduct thorough regression testing when bugs are resolved.
• Build and maintain automated test suites for:
• Validate frontend–backend integration, data consistency, and error handling
• Perform API contract testing, schema validation, and negative/edge-case testing
• Collaborate with engineers during design, implementation, and code reviews to improve testability and catch issues early
• Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback
• Analyze test failures, investigate root causes, and drive issues to resolution
• Advocate for quality best practices, including shift-left testing, risk-based testing, and automation strategy
• Identify, document, and track software defects using bug tracking tools like Jira. 
  
  

What we're looking for:

• Experience in QA / Quality Engineering, with a strong focus on web platforms and APIs
• Proven hands-on experience with manual testing of complex, consumer-facing web applications
• Strong experience building and maintaining API tests using tools such as Postman, REST-assured, Supertest, or similar
• Hands-on experience with web automation frameworks (Playwright, Cypress)
• Solid understanding of HTTP, REST and API design principles
• Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
• Experience working in Agile/Scrum environments
• Strong debugging, analytical, and communication skills
• Strategic partnership with stakeholders / Cross-functional collaboration that is high-trust and high-velocity
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Nice-to-Haves:
  • Experience testing large-scale, high-traffic web platforms
  • Familiarity with React or modern frontend frameworks
  • Experience with performance, load, or reliability testing for APIs and web applications
  • Exposure to feature flags, experimentation platforms, or observability tools

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

We're looking for a Senior SDET who thinks deeply about quality in systems that are inherently non-deterministic. Agentic AI doesn't fail the same way traditional software does — and testing it requires a new toolkit: eval frameworks, prompt regression, tool-call reliability, adversarial scenarios, and more.

You'll own the entire quality infrastructure across our product portfolio — from test data and CI pipelines to the standards and culture of how we ship. You'll work directly with product, devops, and AI engineering, with no layers between your decisions and their impact.

What You'll Own

• Test infrastructure, test data, test processes across the entire product portfolio while working with Devops and Infrastructure engineers
• Test Framework - build and enhance automated testing frameworks and tools that facilitate automated testing across different layers of application.
• The reliability bar for all Web applications, Mobile applications and AI agent outputs — from hallucination detection to latency regressions and tool-call correctness
• Test infrastructure, test data, and test processes across the entire product portfolio, alongside DevOps and Infrastructure engineers
• Automated testing frameworks that span all layers of the application — unit, integration, contract, and end-to-end
• Evaluation frameworks designed for LLM-based systems: non-deterministic output scoring, prompt regression, and adversarial test suites
• HIPAA-aware test data management — de-identification pipelines, synthetic data generation, and audit trail validation
• Integration of automated tests into CI/CD pipelines for continuous delivery confidence
• Build stability monitoring and release gate enforcement before any deployment
• Documentation of test plans, test results, and evaluation standards to support knowledge sharing
• The "safety net" for product quality — you define what done looks like

What We're Looking For

• 8+ years of hands-on SDET experience, with recent work building or testing agentic AI systems (single- or multi-agent) in production
• Experience in healthcare or life sciences — you understand what's at stake when a system fails in this domain
• A true tester's mindset: you seek out edge cases, adversarial inputs, and failure modes others overlook
• Proficiency across the full test pyramid — unit, integration, system, performance, and exploratory — plus familiarity with LLM-specific evaluation approaches
• Strong debugging skills across multi-tier web and mobile architectures; comfortable jumping into production incidents
• Proficiency with testing frameworks such as Jest, React Testing Library, Supertest, and pytest.
• Hands-on experience with testing tools like Cypress, Playwright, Supertest, and pytest (including requests or Selenium-based testing)
• Experience testing RESTful APIs using tools like Postman or Supertest
• Solid command of JavaScript and Python

Bonus Points

• Multi-cloud experience (AWS, Azure, GCP)
• Experience with red-teaming or adversarial testing of AI systems
• Native mobile testing experience (iOS, Android)
• Prior work with 21 CFR Part 11, GxP, or similar regulated-software validation frameworks

Why Medeloop

• Ownership from day one: small team, high-trust, no layers between your work and its impact
• Technically ambitious: you'll build AI-powered workflows, not just support them
• Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter

Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We are looking for a Sr. Data Quality Engineer to join the Reporting and Measurement Engineering team. In this role, you will build and maintain data validation frameworks, develop safeguards for critical measurement pipelines, and own testing strategy across our data infrastructure. You will partner with engineers, data scientists, and product managers to ensure the reliability and trustworthiness of the data powering Tatari's client-facing dashboards and analytics, where accuracy directly impacts how our clients measure the performance of their TV ad spend.

Responsibilities

• Build and maintain data validation frameworks for critical measurement and reporting pipelines
• Develop automated data quality checks across ingestion, transformation, and reporting layers
• Own pytest infrastructure improvements and drive integration testing patterns across the engineering org
• Partner with engineers, data scientists, and product managers to debug complex data issues and define data quality standards
• Evaluate, adopt, and own data quality and lineage tooling to improve pipeline observability and traceability
• Define and enforce data quality standards for new feature launches and pipeline changes
• Monitor pipeline health and build alerting for data anomalies in collaboration with SRE
• Mentor engineers across the org on data quality best practices and contribute to a culture of testing excellence

 Qualifications

• 5+ years in data quality engineering, data engineering, or backend engineering with a strong focus on automated testing and data validation
• Strong proficiency in Python and SQL, including experience with relational and cloud-hosted databases
• Experience building test automation and validation frameworks for data pipelines, APIs, and microservices using pytest or similar tools
• Experience with data pipeline orchestration tools (e.g., Airflow, Databricks) and cloud data infrastructure
• Experience with data quality frameworks such as Great Expectations is a strong plus
• Comfortable working across engineering, data science, and product to communicate data quality standards and tradeoffs to both technical and non-technical stakeholders
• Detail-oriented with strong analytical skills and a genuine commitment to data accuracy and engineering excellence
• BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience

Benefits:

• Total compensation ($140,000-170,000/annually)
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 Newbie Productivity Perk
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events 
• Hybrid RTO of 2 days per week in office. 

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

#LI-HYBRID 

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We are looking for a Sr. Data Quality Engineer to join the Reporting and Measurement Engineering team. In this role, you will build and maintain data validation frameworks, develop safeguards for critical measurement pipelines, and own testing strategy across our data infrastructure. You will partner with engineers, data scientists, and product managers to ensure the reliability and trustworthiness of the data powering Tatari's client-facing dashboards and analytics, where accuracy directly impacts how our clients measure the performance of their TV ad spend.

Responsibilities

• Build and maintain data validation frameworks for critical measurement and reporting pipelines
• Develop automated data quality checks across ingestion, transformation, and reporting layers
• Own pytest infrastructure improvements and drive integration testing patterns across the engineering org
• Partner with engineers, data scientists, and product managers to debug complex data issues and define data quality standards
• Evaluate, adopt, and own data quality and lineage tooling to improve pipeline observability and traceability
• Define and enforce data quality standards for new feature launches and pipeline changes
• Monitor pipeline health and build alerting for data anomalies in collaboration with SRE
• Mentor engineers across the org on data quality best practices and contribute to a culture of testing excellence

 Qualifications

• 5+ years in data quality engineering, data engineering, or backend engineering with a strong focus on automated testing and data validation
• Strong proficiency in Python and SQL, including experience with relational and cloud-hosted databases
• Experience building test automation and validation frameworks for data pipelines, APIs, and microservices using pytest or similar tools
• Experience with data pipeline orchestration tools (e.g., Airflow, Databricks) and cloud data infrastructure
• Experience with data quality frameworks such as Great Expectations is a strong plus
• Comfortable working across engineering, data science, and product to communicate data quality standards and tradeoffs to both technical and non-technical stakeholders
• Detail-oriented with strong analytical skills and a genuine commitment to data accuracy and engineering excellence
• BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience

Benefits:

• Total compensation ($140,000-170,000/annually)
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 Newbie Productivity Perk
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events 
• Hybrid RTO of 2 days per week in office. 

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

#LI-HYBRID 

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We are looking for a Sr. Data Quality Engineer to join the Reporting and Measurement Engineering team. In this role, you will build and maintain data validation frameworks, develop safeguards for critical measurement pipelines, and own testing strategy across our data infrastructure. You will partner with engineers, data scientists, and product managers to ensure the reliability and trustworthiness of the data powering Tatari's client-facing dashboards and analytics, where accuracy directly impacts how our clients measure the performance of their TV ad spend.

Responsibilities

• Build and maintain data validation frameworks for critical measurement and reporting pipelines
• Develop automated data quality checks across ingestion, transformation, and reporting layers
• Own pytest infrastructure improvements and drive integration testing patterns across the engineering org
• Partner with engineers, data scientists, and product managers to debug complex data issues and define data quality standards
• Evaluate, adopt, and own data quality and lineage tooling to improve pipeline observability and traceability
• Define and enforce data quality standards for new feature launches and pipeline changes
• Monitor pipeline health and build alerting for data anomalies in collaboration with SRE
• Mentor engineers across the org on data quality best practices and contribute to a culture of testing excellence

 Qualifications

• 5+ years in data quality engineering, data engineering, or backend engineering with a strong focus on automated testing and data validation
• Strong proficiency in Python and SQL, including experience with relational and cloud-hosted databases
• Experience building test automation and validation frameworks for data pipelines, APIs, and microservices using pytest or similar tools
• Experience with data pipeline orchestration tools (e.g., Airflow, Databricks) and cloud data infrastructure
• Experience with data quality frameworks such as Great Expectations is a strong plus
• Comfortable working across engineering, data science, and product to communicate data quality standards and tradeoffs to both technical and non-technical stakeholders
• Detail-oriented with strong analytical skills and a genuine commitment to data accuracy and engineering excellence
• BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience

Benefits:

• Total compensation ($140,000-170,000/annually)
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 Newbie Productivity Perk
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events 
• Hybrid RTO of 2 days per week in office. 

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

#LI-HYBRID