Jobs / United States / Appian Corporation

Appian Corporation

Senior Software Engineer

McLean, Virginia Posted 16 days ago

?%your match
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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 18 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Appian Corporation paid sponsored hires in similar roles4 certified filings for “Senior Software Engineer” (Software Developers) in VA: $150k–$215k, median $163k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 18 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Appian Corporation paid sponsored hires in similar roles
4 certified filings for “Senior Software Engineer” (Software Developers) in VA: $150k–$215k, median $163k. Most were filed at wage level I (25%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Senior Software Engineer Overview: At Appian, we’re not only about building awesome software, but also about growing our culture of passion, energy, and innovation—great people, great software! As a performance-focused Software Engineer, your mission will be to tackle our most challenging technical problems and build the tools required to solve complex performance bottlenecks. You will work alongside brilliant engineers to ensure our real-time, distributed platform operates with maximum speed, stability, and scale. Team Description: The Performance Engineering team sits at the vital intersection of core software development and infrastructure reliability. We are a squad of builders dedicated to keeping Appian fast and resilient under high-volume enterprise loads. We don't just fix slow code; we construct custom performance tooling, design automated testing frameworks, and maintain the deep observability systems that keep our platform running seamlessly. In this role, you will: • Engine Custom Tooling: Build custom internal tools, automation scripts, and diagnostic software to identify, isolate, and eliminate complex platform bottlenecks. • Automate Performance Testing: Create and expand libraries, frameworks, and infrastructure to enable continuous automated performance and load testing across the platform. • Drive Deep Observability: Leverage modern observability stacks (Prometheus, OpenTelemetry, Loki, Grafana, ElasticSearch, and Kubernetes) to monitor, trace, and optimize real-time system behavior. • Debug & Rapidly Respond: Act as a critical responder for complex customer performance investigations and production issues, conducting root-cause analysis to prevent recurrence. • Optimize Core Architecture: Utilize deep JVM knowledge and Linux fundamentals to profile runtime performance, tune application servers, and optimize database queries. • Collaborate in Agile Squads: Partner closely with cross-functional scrum teams to deliver simple, elegant, and highly performant solutions to multi-layered technical challenges. The Ideal Candidate: • Systems & Performance Obsessed: You thrive on solving labyrinthine problems within large, high-performance distributed systems, with a natural curiosity for low-level platform behaviors. • Culture & Builder Mindset: You bring energy, passion, and technical rigor to your team, taking immense pride in building tools that make everyone else's code run faster. • Proactive Problem Solver: You prefer building long-term automated preventions over repeatedly applying short-term band-aids to recurring system issues. Basic Qualifications: • Bachelor's degree in Computer Science or a related technical field • 4+ years of professional experience building, delivering, and optimizing software applications. • Proven experience programming in Java, Python, or other interpreted/compiled languages (e.g., C/C++). • Solid foundation in Linux system fundamentals (threading, memory management, context switching) and shell scripting. Preferred Qualifications: • Deep technical knowledge of the JVM, including Garbage Collection tuning, heap dump analysis, and Java application servers (Tomcat, Spring). • Hands-on experience with cloud-native monitoring and tracing tools (OpenTelemetry, Prometheus, Grafana, Loki, ElasticSearch) and load-testing tools (e.g., Locust). • Experience with

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