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HomeCompaniesAvanteSoftware Engineer

Software Engineer

Avante · Seattle, WA · On Site · Active · $130,000–$170,000 / year · Lever

Job facts

FieldValue
CompanyAvante
TitleSoftware Engineer
Normalized title-
Department / teamEngineering
LocationSeattle, WA, United States
Work modelOn Site
Employment typeFull Time
Salary$130,000–$170,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-05-29 / 2026-05-30
Changed / last seen2026-06-03 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Avante.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Seattle.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAvante
Source3f9e23ba-2b05-4d46-a973-105038fc1a66
ATS providerLever

Description

About Avante Ask any employee to explain their benefits, and you'll likely get a confused shrug. Ask any HR leader if their benefits investment is working, and you'll get an honest "I don't know." For employees, benefits are confusing and overwhelming. For HR and finance leaders, benefits are the second-largest expense, but they lack the visibility to know what's working and what's wasted. At Avante, we're changing that. We're an AI-native benefits intelligence platform built to turn benefits complexity into clarity. For employees, our agent Carly provides personalized, always-on benefits guidance. For benefits leaders, our agent Ava monitors their entire program, surfaces what needs attention, and delivers strategic intelligence on costs, utilization, and outcomes in seconds. Together, these agents create a closed-loop system where employee engagement data informs benefits strategy, and smarter strategy improves the employee experience. We're based in Seattle and work 4 days a week in the office (one day remote). We're growing fast, serving enterprise customers like Samsung, Zscaler, and News Corp. Interview Process: Initial screen with our recruiters Video Interview with our Head of Engineering On-site interview loop: Technical interview focused on real-world problem solving (no whiteboard algorithms) Team behavioral interview 1:1 with our PM Final loop with our Head of Engineering Final conversation with our CEO If you're excited about solving complex data challenges in the benefits space while making a meaningful impact on businesses and their employees, we'd love to hear from you! Avante is an Equal Opportunity Employer. We’re building a diverse, inclusive team and welcome candidates of all backgrounds. What You'll Do Write high-quality, production-ready TypeScript code for our backend services and APIs Design, build, and maintain scalable services within our TypeScript monorepo Model data, design schemas, and optimize queries in PostgreSQL Integrate with external systems including HRIS platforms, ticketing systems, and third-party APIs Build infrastructure for AI-powered features—prompt engineering, context management, and reliable AI system integration Build for production with attention to observability, monitoring, and testability from day one Participate in design discussions, code reviews, and technical decision-making Collaborate closely with product, design, and engineering peers to deliver solutions that drive real business value What We're Looking For 3+ years of professional software engineering experience, primarily in backend development Strong proficiency in TypeScript or willingness to ramp quickly if coming from similar languages (Java, C#, Python) Solid experience with relational databases—schema design, query writing, and performance basics Familiarity with API design patterns and building services that other systems depend on Ability to work effectively in ambiguity, prioritize well, and balance speed with maintainability Strong communication skills and genuine interest in understanding the problems you're solving Experience building AI-powered features or working with LLM APIs is a significant plus, though not required—this field is new enough that we're more interested in your curiosity and learning orientation than checking a box Our Company Values Our four values aren't aspirational. They translate into concrete operating tenets that shape how we make decisions every day. Beat Yesterday. We re-evaluate our own toolkit every quarter, because the workflows that made you effective three months ago may already be outdated. We act on 70% of the information rather than waiting for certainty. We timebox, execute, and iterate, getting work in front of real people quickly instead of polishing in isolation. And we own our output regardless of how we produced it. AI can get you 80% of the way there. Everything that goes out with your name on it is your responsibility to review, refine, and stand behind. Embrace Type 2 Fun. We take on hard problems and find meaning in the work, even when it's uncomfortable. We assume good intent and follow up directly rather than venting in side channels. We celebrate wins loudly and specifically, naming the actual behavior so the whole team learns what great looks like. We are on by default, because we owe it to each other and to our customers to be available beyond what a regular corporate job would demand. And we do unscalable things today that build scalable advantages tomorrow. Every white-glove dinner, every hand-built territory map, every late-night booth setup earns us the right to scale later. Stay Hungry, Stay Curious. We expect everyone to be the expert on AI in their function before anyone asks them to be. The landscape changes weekly. When you learn something, teach it. Learn enough about adjacent functions to ask good questions, including what your AEs are saying on calls, how brokers actually make money, and why a benefits committee pushes back on a deal. Ask the question you think is too basic, because in complex domains like benefits, the cost of a wrong assumption can be a lost account. And remember: curiosity without urgency is a hobby. Learning has to translate into action on a timeline that matches the opportunity. Act Like an Owner. We say the uncomfortable thing early, raising missed commitments or quality gaps directly with the person within 48 hours. We surface problems when they're small, not the week they become a crisis. Customer-facing work gets priority, always. And we close the loop every time, because over-communication is a feature at our stage, not a bug.

Full job record

Job IDbb6f40392d9e9b0b92bd1d7a4f3e0ffcd615294b
Org ID3f46c355-a8ea-4ec1-9678-631557f49972
Source ID3f9e23ba-2b05-4d46-a973-105038fc1a66
Board ID3f9e23ba-2b05-4d46-a973-105038fc1a66
Providerlever
Provider Job Key7258d542-68ac-48e9-8682-83ed91235842
TitleSoftware Engineer
Normalized Title
Statusactive
Activeyes
Location TextSeattle, WA
Department
TeamEngineering
Employment TypeFull-time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionWA
CitySeattle
Salary RawUSD 130000-170000 per-year-salary
Salary Min130,000
Salary Max170,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/avante/7258d542-68ac-48e9-8682-83ed91235842
Apply URLhttps://jobs.lever.co/avante/7258d542-68ac-48e9-8682-83ed91235842/apply
First Seen At2026-05-30 07:35:26Z
Last Seen At2026-06-06 20:01:43Z
Last Checked At2026-06-06 20:01:43Z
Last Changed At2026-06-03 12:27:03Z
Inactive At
Source Posted At2026-05-29 13:40:33Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=avante/date=2026-06-06/2026-06-06T20-01-43-107Z-ee6c7567f10d2f7f0c833008eebc7b7a463f2824c1ae3b262b70e0ac8b025fb2.json
Event Fields
{
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  "source_hash": "bfbbda268a1b9ec9c3d0cf7ce9ec30d2350315677f756f78c0099db96d6a3469",
  "last_changed_at": "2026-06-03T12:27:03.173Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Seattle, WA",
    "city": "Seattle",
    "region": "WA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
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  "salary_max": 170000,
  "salary_min": 130000,
  "inferred_at": "2026-06-06T20:01:43.739Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
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      "region": "WA",
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  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "What You'll Do",
      "content": "\n<li>Write high-quality, production-ready TypeScript code for our backend services and APIs</li>\n<li>Design, build, and maintain scalable services within our TypeScript monorepo</li>\n<li>Model data, design schemas, and optimize queries in PostgreSQL</li>\n<li>Integrate with external systems including HRIS platforms, ticketing systems, and third-party APIs</li>\n<li>Build infrastructure for AI-powered features—prompt engineering, context management, and reliable AI system integration</li>\n<li>Build for production with attention to observability, monitoring, and testability from day one</li>\n<li>Participate in design discussions, code reviews, and technical decision-making</li>\n<li>Collaborate closely with product, design, and engineering peers to deliver solutions that drive real business value</li>\n"
    },
    {
      "text": "What We're Looking For",
      "content": "<div>\n\n<li>3+ years of professional software engineering experience, primarily in backend development</li>\n<li>Strong proficiency in TypeScript or willingness to ramp quickly if coming from similar languages (Java, C#, Python)</li>\n<li>Solid experience with relational databases—schema design, query writing, and performance basics</li>\n<li>Familiarity with API design patterns and building services that other systems depend on</li>\n<li>Ability to work effectively in ambiguity, prioritize well, and balance speed with maintainability</li>\n<li>Strong communication skills and genuine interest in understanding the problems you're solving</li>\n<li>Experience building AI-powered features or working with LLM APIs is a significant plus, though not required—this field is new enough that we're more interested in your curiosity and learning orientation than checking a box</li>\n\n</div>"
    },
    {
      "text": "Our Company Values",
      "content": "<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: 'Plus Jakarta Sans', sans-serif;\">Our four values aren't aspirational. They translate into concrete operating tenets that shape how we make decisions every day.</span></p>\n<div>&nbsp;</div>\n\n<li><strong><span style=\"font-size: 11pt; font-family: 'Plus Jakarta Sans', sans-serif;\">Beat Yesterday.</span></strong><span style=\"font-size: 11pt; font-family: 'Plus Jakarta Sans', sans-serif;\"> We re-evaluate our own toolkit every quarter, because the workflows that made you effective three months ago may already be outdated. We act on 70% of the information rather than waiting for certainty. We timebox, execute, and iterate, getting work in front of real people quickly instead of polishing in isolation. And we own our output regardless of how we produced it. AI can get you 80% of the way there. Everything that goes out with your name on it is your responsibility to review, refine, and stand behind.</span></li>\n<li><strong><span style=\"font-size: 11pt; font-family: 'Plus Jakarta Sans', sans-serif;\">Embrace Type 2 Fun.</span></strong><span style=\"font-size: 11pt; font-family: 'Plus Jakarta Sans', sans-serif;\"> We take on hard problems and find meaning in the work, even when it's uncomfortable. We assume good intent and follow up directly rather than venting in side channels. We celebrate wins loudly and specifically, naming the actual behavior so the whole team learns what great looks like. We are on by default, because we owe it to each other and to our customers to be available beyond what a regular corporate job would demand. And we do unscalable things today that build scalable advantages tomorrow. Every white-glove dinner, every hand-built territory map, every late-night booth setup earns us the right to scale later.</span></li>\n<li><strong><span style=\"font-size: 11pt; font-family: 'Plus Jakarta Sans', sans-serif;\">Stay Hungry, Stay Curious.</span></strong><span style=\"font-size: 11pt; font-family: 'Plus Jakarta Sans', sans-serif;\"> We expect everyone to be the expert on AI in their function before anyone asks them to be. The landscape changes weekly. When you learn something, teach it. Learn enough about adjacent functions to ask good questions, including what your AEs are saying on calls, how brokers actually make money, and why a benefits committee pushes back on a deal. Ask the question you think is too basic, because in complex domains like benefits, the cost of a wrong assumption can be a lost account. And remember: curiosity without urgency is a hobby. Learning has to translate into action on a timeline that matches the opportunity.</span></li>\n<li><strong><span style=\"font-size: 11pt; font-family: 'Plus Jakarta Sans', sans-serif;\">Act Like an Owner.</span></strong><span style=\"font-size: 11pt; font-family: 'Plus Jakarta Sans', sans-serif;\"> We say the uncomfortable thing early, raising missed commitments or quality gaps directly with the person within 48 hours. We surface problems when they're small, not the week they become a crisis. Customer-facing work gets priority, always. And we close the loop every time, because over-communication is a feature at our stage, not a bug.</span></li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1780062033831,
  "updatedAt": null,
  "categories": {
    "team": "Engineering",
    "location": "Seattle, WA",
    "commitment": "Full-time",
    "allLocations": [
      "Seattle, WA"
    ]
  },
  "salaryRange": {
    "max": 170000,
    "min": 130000,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "onsite"
}
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