Information Engineer II, Enterprise Systems Technology

TLDR

Design and build scalable enterprise platforms focusing on identity and access management while improving reliability through automation and best engineering practices.

About AlphaSense: 

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

The role of Engineer II, Enterprise Systems Technology is responsible for designing, building, and operating scalable enterprise platforms that power internal teams across the organization. This role approaches technology challenges with an engineering mindset - developing automated, reliable, and secure solutions that reduce manual work and enable teams to operate efficiently at scale.

Our mission is to design, build, and operate secure, scalable IT platforms and identity services that power the company. We leverage engineering, automation, and deep systems expertise to reduce operational overhead, increase reliability, and support long-term organizational growth.

This engineer will focus on identity and access management, enterprise systems engineering, enterprise security, and automation-driven platform development, while supporting complex technical initiatives across the organization. The role requires strong technical expertise, architectural thinking, and the ability to translate business needs into scalable engineering solutions.

Working closely with cross-functional teams, the engineer will help shape the technical direction of enterprise systems while promoting best practices in automation, infrastructure management, and system reliability. This role provides an opportunity to directly impact the productivity, security, and scalability of the company as we continue to grow.

Who You Are:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or an equivalent combination of experience and certifications.
  • Deep expertise in identity and access management platforms, particularly Okta and Okta Workflows, and experience designing secure identity architectures.
  • Experience designing and maintaining system integrations and automation using APIs and event-driven workflows.
  • Strong programming and scripting skills in Python, PowerShell, and Bash.
  • Experience integrating systems using RESTful APIs, authentication frameworks such as OAuth, and common data formats such as JSON and YAML.
  • Proficiency with Infrastructure as Code (IaC) tools such as Terraform.
  • Experience working with CI/CD pipelines and version control systems (Git) to manage infrastructure, automation, and configuration changes.
  • Solid understanding of networking fundamentals, troubleshooting, and system performance optimization.
  • Strong problem-solving abilities with a structured and analytical approach to designing technical solutions.
  • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

What You’ll Do: 

  • Design and build automation-driven solutions and system integrations that reduce manual operational work and improve reliability across enterprise systems.
  • Develop and maintain internal platforms and services that support identity management, enterprise applications, and secure access to company resources.
  • Design, implement, and support networking and secure access technologies, including Zero Trust Network Access and identity-aware access controls.
  • Apply engineering best practices such as infrastructure as code, version control, testing, and CI/CD to enterprise systems and automation workflows.
  • Define and maintain architecture standards, design principles, and technical guidelines to ensure a consistent and scalable enterprise platform.
  • Collaborate with internal teams to understand business needs and translate them into secure, scalable engineering solutions.
  • Partner with Security and Compliance teams to support initiatives such as vulnerability management, patching, and incident response.
  • Contribute to technical planning and implementation of complex cross-functional technology initiatives.
  • Maintain documentation for system designs, integrations, and automation workflows to support long-term maintainability.
  • Provide technical mentorship and guidance to team members while promoting a culture of engineering excellence and continuous improvement.
  • Stay informed on emerging technologies and identify opportunities to improve platform reliability, security, and scalability.


Nice to Have

Experience with the following technologies and concepts is considered a strong plus:

  • AWS fundamentals and cloud-native service architecture
  • Experience working with endpoint management platforms, enterprise security tools and APIs, such as Kandji, Microsoft Intune, CrowdStrike, or Cloudflare
  • Deeper understanding of enterprise networking concepts
  • Familiarity with SQL or lightweight data querying
  • Experience with message queues or event-driven automation architectures
  • Familiarity with AI-assisted development tools and automation, including using LLMs or AI APIs to build internal tooling, improve workflows, or enhance operational efficiency.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @alpha-sense.com email address.
  • If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

AlphaSense builds an AI-driven market intelligence platform that delivers valuable insights from both public and private content. It's designed for sophisticated enterprises, including a majority of the S&P 500, allowing them to make informed decisions and remove uncertainty from their processes.

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