资深软件工程师，全栈

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!

Staff Software Engineer, Full Stack (Frontend Heavy) - Content Experience Team
About the Role
We are looking for a hands-on Full Stack (Frontend Heavy) Staff Software Engineer to join our team and lead efforts in building scalable, performant, and reliable software systems that power the AlphaSense platform. You will play a key role in shaping technical architecture, mentoring engineers, and driving engineering excellence across teams. This is a high-impact role for an experienced engineer who thrives on solving complex problems and delivering robust, customer-focused solutions.
Who You Are

• Bachelor's or Master's Degree in Computer Science or related discipline.

• Minimum 8 years of software development experience building scalable, high-performing, and robust applications.

• Strong proficiency in JavaScript with solid experience in full-stack development.

• Expertise in modern web frameworks such as React, TypeScript, and GraphQL.

• Identify and codify React performance best practices, architectural trade-offs, and code-level improvements in the existing codebase.

• Experience with at least one backend language/framework (e.g., Node.js, Java, Python)

• Strong computer science fundamentals (data structures, algorithms, multithreading, distributed systems).

• Experience with SQL/NoSQL databases (e.g., DynamoDB, MySQL, Redis, Elasticsearch, Solr/Vespa/Lucene).

• Cloud-native development experience with AWS or GCP.

• Skilled with containerization and orchestration tools (Kubernetes, Docker, Helm).

• Familiarity with observability tools and platforms (monitoring, logging, tracing).

• Experience with service reliability, on-call ownership, and incident triage for production systems.

• Demonstrated ability to lead technically within distributed, cross-functional teams.

• Hands-on experience using AI-assisted development tools (e.g., Claude Code, Copilot) as a core part of daily engineering workflow.

• Track record of driving AI adoption within engineering teams - establishing best practices, defining guardrails, evaluating tools, and measurably improving team velocity through AI-assisted workflows (a strong plus).

What You'll Do

• Design and build high-quality, performant, and scalable software systems across backend and frontend.

• Own the technical architecture and reliability of backend services alongside frontend microapps.

• Lead technical design discussions, clarify requirements, and deliver effective and maintainable solutions.

• Take ownership of full-stack development projects, from backend APIs (Python/Java) to front-end integration.

• Serve as architectural glue across multiple domains.

• Apply best practices in DevOps, CI/CD, and cloud-native engineering to improve delivery efficiency.

• Mentor and coach engineers, raising the technical bar across the team.

• Collaborate with globally distributed teams and cross-functional stakeholders.

• Drive innovation by evaluating and adopting emerging technologies where relevant.

• Build and integrate intelligent features into the platform, leveraging LLMs, agents, and AI frameworks where they add user value.

• Partner with other teams to integrate and optimize intelligent features and workflows within the platform.

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 @ 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.

Originally posted on Himalayas