Distyl AI Logo

Distyl AI

Infrastructure Engineer, Agentic DevSecOps

Posted 23 Days Ago
Be an Early Applicant
Hybrid
New York, NY, USA
200K-250K Annually
Expert/Leader
Hybrid
New York, NY, USA
200K-250K Annually
Expert/Leader
Owns build, test, release, developer productivity, and agent-enabled engineering infrastructure across multi-cloud customer environments. Responsibilities include creating reproducible build systems, release pipelines, software supply-chain security controls, coding-agent workflows, developer self-service tools, observability, alerting, and engineering productivity metrics. Requires strong Python, Linux, container, Kubernetes, GitOps, infrastructure-as-code, cloud, and security expertise, plus leadership of complex projects and migrations.
The summary above was generated by AI
About Distyl AI

Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.

What We Are Looking For

We're hiring a Infrastructure Engineer to own how Distyl engineers build, test, secure, and release software. Our independently versioned services span multiple repositories and deploy into customer environments across AWS, Azure, and GCP, with different security, connectivity, and upgrade constraints.

This is a hands-on role with scope matched to your experience, from owning complex delivery systems to setting technical direction across teams. You'll build shared delivery systems and coding-agent workflows that make releases reliable, failures actionable, and engineers more productive. Your systems will shape how every Distyl engineer ships.

Key Responsibilities
  • Technical ownership. Set direction and priorities for build, test, release, and coding-agent infrastructure. Choose tools and standards with engineering partners, and own implementation, adoption, and operation across teams

  • Build systems and repository standards. Standardize repository conventions and reusable build/test workflows. Make builds reproducible and efficient through explicit dependencies, consistent tooling, and effective caching

  • Release engineering. Build once and promote versioned bundles of immutable artifacts through release stages, with source traceability and test and security gates. Partner with Platform, Runtime, and Customer Delivery on integration and compatibility testing, configuration and schema changes, and recovery. Support customer-registry distribution and offline packaging where required

  • Agent-enabled engineering. Equip engineers with reusable coding-agent tools to diagnose failures, propose fixes, and handle routine work. Include tests, scoped permissions, failure handling, and independent output validation; measure quality and time saved

  • Software supply-chain security. Implement artifact signing and provenance, software bills of materials (SBOMs), isolated build runners, scoped CI credentials, and vulnerability gates. Integrate dependency and container remediation into engineering workflows

  • Developer experience. Understand engineers' workflows and remove friction with self-service tools, documentation, and diagnostics that distinguish code failures from tooling issues. Use developer feedback to guide incremental migrations, earn adoption, and reduce manual work

  • Engineering productivity and alerting. Track build/test latency, pipeline reliability, flaky-test rates, release lead time, and tooling adoption. Use these signals and developer feedback to reduce flaky tests and bottlenecks. Set service-level objectives and route actionable alerts to owners

Who You Are
  • 10+ years of experience in software engineering, developer productivity, SRE, or related infrastructure engineering roles

  • Experience enabling engineers to use coding agents through reusable tools, workflows, and guidance, with independent validation and scoped access

  • Experience owning production build, test, and release infrastructure across services and teams, including versioned release bundles and compatibility testing

  • Hands-on experience with build systems, dependency management, reproducibility, performance diagnosis, and caching

  • Strong Python skills for building and debugging backend services and maintainable automation. Comfortable navigating unfamiliar code, including JavaScript frontends

  • Strong Linux fundamentals and experience building and maintaining secure container images. Working knowledge of Kubernetes, GitOps, infrastructure as code, and cloud deployment

  • Hands-on experience implementing software supply-chain controls. Demonstrated security judgment across permissions, credentials, dependencies, artifacts, and remediation

  • Experience building developer platforms, automated remediation, or reusable agent tooling adopted by other engineers

  • A record of improving build/test performance, release reliability, and tooling adoption using metrics and developer feedback

  • Experience independently leading complex projects and migrations. A record of setting technical direction and driving adoption across teams is especially valued. You defend technical choices with evidence and adapt to changing constraints

  • Preferred: Building and operating testing infrastructure in a microservices environment

  • Preferred: Distributing release artifacts to customer registries or restricted environments, including offline packaging

What We Offer
  • The base salary range for this role is $200,000-$250,000, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible time off

  • Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources

  • Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot

  • Complimentary in-office lunches and snacks provided

  • Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems

  • Ownership of high-impact projects across top enterprises

  • A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence

Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.

#LI-Hybrid

We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.

Similar Jobs

Yesterday
In-Office or Remote
New York, NY, United States
180K-200K Annually
Senior level
180K-200K Annually
Senior level
Healthtech • Telehealth
Leads and develops a data engineering team responsible for Snowflake, dbt, Python services on AWS, Airflow orchestration, integrations, reliability, and CI/CD. Owns technical strategy, platform administration, access controls, cost management, incident response, engineering standards, delivery, and team development. Partners with product, analytics engineering, DevOps, and business stakeholders to build scalable, reliable data systems.
Top Skills: Amazon EcsApache AirflowAWSAws LambdaCi/CdDbtFivetranPythonSnowflakeSQLTerraform
Yesterday
Hybrid
New York, NY, USA
80K-100K Annually
Junior
80K-100K Annually
Junior
AdTech • Big Data • Digital Media • Software
Build and maintain automation systems, backend services, and lightweight internal web applications. Analyze cross-functional workflows, identify automation opportunities, and implement scalable solutions. Collaborate with engineering, product, operations, and sales teams while using AI-assisted development tools and LLM integrations. Participate in code reviews and continuous improvement while developing software engineering fundamentals.
Top Skills: AirflowAWSCursorDockerJavaJavaScriptModel Context ProtocolNext.JsNode.jsOpenaiPostgresPythonReactTypescript
Yesterday
Remote or Hybrid
2 Locations
69K-114K Annually
Entry level
69K-114K Annually
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.
Top Skills: HubspotExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft SharepointMicrosoft TeamsMicrosoft WordSalesforce

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account