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Internal Developer Tools Software Engineer Jobs in New York

Beacon Software

Software Engineer

New York, NY

Software Engineer We're looking for a versatile Software Engineer to drive technical innovation and ... Contribute to internal engineering playbooks and best practices across Beacon's platform. * Mentor ...

Judge Group, Inc.

Software Engineer

Woodbridge, NJ · Hybrid

$58 - $63/hr

Work with large-scale datasets using tools such as BigQuery, Hadoop , and related big data ... Collaborate closely with client and internal engineering teams to ensure delivery of software ...

Cognition

AI Support Engineer

New York, NY · On-site

Passion for AI, developer tools, and the future of software engineering. Nice to Have * Experience building internal tools, scripts, or automations to accelerate debugging, support, or QA workflows.

Beacon Software

Software Engineer

New York, NY · On-site

Contribute to internal engineering playbooks and best practices across Beacon's platform. * Mentor ... enabled tools to assist with screening, reviewing, organizing and highlighting profiles and ...

Courier Health

Software Engineer

New York, NY · On-site

$130K - $160K/yr

Work with fellow engineers to raise the bar on our internal Engineering systems and processes ... Leverages agentic coding tools to accelerate time-to-value * Built and operated LLM-powered ...

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Internal Developer Tools Software Engineer information

How do Internal Developer Tools Software Engineers typically interact with other development teams within the company?

Internal Developer Tools Software Engineers work closely with a variety of engineering teams to understand their workflows, gather feedback, and identify pain points in the development process. Communication is key, as these engineers often facilitate onboarding, provide training for new tools, and respond to support requests. Collaboration usually involves participating in cross-team meetings, collecting requirements, and iterating on tools based on real-world usage. This close partnership ensures that the tools developed genuinely improve productivity and address the practical needs of their colleagues.

What is the difference between Internal Developer Tools Software Engineer vs Software Engineer?

AspectInternal Developer Tools Software EngineerSoftware Engineer
Primary FocusDeveloping and maintaining internal tools to improve developer productivityBuilding applications, systems, or features for end-users or clients
Work EnvironmentTypically within tech companies, collaborating with internal teamsVaries across industries, often with direct customer interaction
Required SkillsStrong programming, understanding of developer workflows, internal tool developmentBroad software development skills, depending on domain
Industry UsagePrimarily in tech companies, startups, and large enterprises with internal toolsAcross all industries including tech, finance, healthcare, etc.

In summary, Internal Developer Tools Software Engineers focus on creating tools that enhance internal developer efficiency, whereas Software Engineers develop a wide range of applications for external users. Both roles require strong programming skills but differ in their primary objectives and work environments.

What are Internal Developer Tools Software Engineers?

Internal Developer Tools Software Engineers are specialists who design, build, and maintain software tools that improve the productivity of other developers within an organization. Their work often includes creating build systems, continuous integration pipelines, testing frameworks, and deployment tools. These engineers collaborate closely with development teams to understand their workflows and challenges, then develop solutions that streamline processes, reduce manual work, and enhance code quality. By focusing on internal tooling, they help the whole engineering organization move faster and deliver higher-quality products.

What are the key skills and qualifications needed to thrive as an Internal Developer Tools Software Engineer, and why are they important?

To thrive as an Internal Developer Tools Software Engineer, you need strong programming skills (often in languages like Python, Java, or Go), expertise in software development processes, and experience with building scalable infrastructure, typically supported by a degree in computer science or related field. Familiarity with CI/CD systems, containerization tools (like Docker and Kubernetes), version control (such as Git), and cloud platforms is usually required. Excellent problem-solving abilities, collaboration, and proactive communication are vital soft skills in this role. These skills and qualities are essential for designing efficient tools that improve developer productivity, streamline workflows, and support organizational engineering goals.
What are popular job titles related to Internal Developer Tools Software Engineer jobs in New York? For Internal Developer Tools Software Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Internal Developer Tools Software Engineer jobs in New York look for? The top searched job categories for Internal Developer Tools Software Engineer jobs in New York are:
What cities in New York are hiring for Internal Developer Tools Software Engineer jobs? Cities in New York with the most Internal Developer Tools Software Engineer job openings:
Internal Developer Tools Software Engineer jobs near you
Infographic showing various Internal Developer Tools Software Engineer job openings in New York as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution.
Sr. Software Engineer II - StreamingTV

Sr. Software Engineer II - StreamingTV

DoubleVerify

New York, NY • On-site

$134K - $176K/yr

Full-time

Posted 13 days ago

Job description

Sr. Software Engineer II - StreamingTV
Position Overview
Join DoubleVerify's Streaming TV engineering team - a small, high-performing group building the products that power content transparency, measurement, and optimization for CTV advertising. In this role, you'll design and deliver scalable backend services, data pipelines, and data-intensive applications that drive our Authentic Streaming TV product suite.
We operate at the forefront of agentic software development. Our team is a top-ranked AI-adopting engineering team at DoubleVerify - we use Claude Code as our primary development tool and run agentic workflows that span everything from ticket creation through implementation, testing, and merge request generation. You won't just use AI to write code - you'll shape the agentic workflows, build reusable skills, and engineer the context that makes every team member (human and agent) more effective.
Our products are used directly by advertisers and media buyers and are deeply integrated into the AdTech ecosystem, connecting with major DSPs, SSPs and streaming publishers.
What You Will Do
  • Build and maintain data pipelines using Airflow, Airbyte, Kafka, and dbt that move billions of records across data platforms
  • Design and develop backend services with Python and FastAPI that power content intelligence and reporting dashboards
  • Work within an agentic development process - use Claude Code daily, create and maintain CLAUDE.md context files, develop reusable skills, and orchestrate multi-agent workflows to accelerate delivery
  • Review AI-generated code, manage agent context, ensure quality across human and agent-produced changes, and continuously improve team tooling and workflows
  • Collaborate in a cross-functional team to design, build, test, and ship features end-to-end - from data ingestion through to customer-facing dashboards
  • Investigate system issues, debug production incidents, and maintain operational excellence across our GCP-based infrastructure
Basic Qualifications
  • 5-7+ years of professional software development experience
  • Strong programming skills in Python
  • Deep experience with data warehouses and analytical databases (e.g., Snowflake, BigQuery, or similar)
  • Experience building and maintaining data pipelines with tools like Airflow, dbt, or similar orchestration frameworks
  • Experience with event streaming technologies such as Kafka
  • Proficient across the full development lifecycle: coding, reviews, source control, testing, CI/CD, and operations
  • Comfort working with AI coding tools - you should be an effective user of agentic development tools like Claude Code, Cursor, or similar, and excited about pushing the boundaries of how AI transforms the engineering workflow
  • Collaborative, resourceful, and quality-driven with a bias toward engineering excellence
  • Solid understanding of scalable, distributed system design principles
Preferred Qualifications
  • Experience with cloud platforms, preferably GCP (BigQuery, GKE, GCS)
  • Familiarity with Docker and Kubernetes
  • Experience building microservices and RESTful APIs (FastAPI preferred)
  • Understanding of ad serving technologies, programmatic advertising or ad verification
  • Experience in the streaming TV or CTV advertising space
  • Track record of building internal developer tools, CI/CD improvements, or workflow automation that multiply team productivity
This position is full-time and located in our New York City headquarters offices offering a hybrid work model from office and remote.
The successful candidate's starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. The estimated salary range for this role based on the qualifications set forth in the job description is between $111,000.00 - $222,000.00. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.
Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you're not sure that you check every box, apply anyway!

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