bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesDyno TherapeuticsSoftware Engineer II, Computational Platform

Software Engineer II, Computational Platform

Dyno Therapeutics · Remote; Watertown, Massachusetts, United States · Remote · Active · $124,842 / year · Greenhouse

Job facts

FieldValue
CompanyDyno Therapeutics
TitleSoftware Engineer II, Computational Platform
Normalized title-
Department / teamEngineering
LocationWatertown, MA, United States
Work modelRemote / Remote
Employment type-
Salary$124,842 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-12 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-21

Related slices

PageWhat it containsOpen
Company jobsActive postings from Dyno Therapeutics.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Watertown.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote 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

CompanyDyno Therapeutics
Source09b02f67-0566-4f28-913e-f8d1a6252b1d
ATS providerGreenhouse

Description

The Role Software Engineer II A collaborative full-stack and cloud engineer who thrives at the intersection of software craftsmanship and cutting-edge AI. This role is for someone eager to build and scale the external-facing AI products that put Dyno’s breakthrough genetic medicine capabilities in the hands of scientists and partners around the world. Job Type: Full Time Location: Watertown, MA or Remote How You Will Contribute As a Software Engineer II, you will be responsible for building and maintaining Dyno’s internal and external-facing AI products. You will drive development of the cloud infrastructure that makes them reliable, scalable, and secure. You will implement novel tooling that empowers Dyno’s scientists and external partners to work at the frontier of AI-driven genetic medicine. At Dyno, every role is mission-driven. Whether in science, engineering, operations, or business, each AAViator contributes to solving some of the most complex challenges in genetic medicine. Responsibilities: Drive engineering quality and reliability of Dyno’s external-facing AI products such as design.dynotx.com. Enable scaling of AI product workflows on design.dynotx.com to handle thousands of simultaneous workflows. Translate scientific and clinical questions into production-ready systems, including APIs, pipelines, and user-facing tools Implement a sound data platform for generation, processing, and serving AI data, ensuring access, security, and data lifecycle integrity. Move quickly from prototype to production, balancing speed with reliability. Work with urgency and adaptability, balancing innovation with execution. Collaborate cross-functionally, leveraging Dyno’s high-trust, high-impact culture to drive results. Basic qualifications 4+ years of software engineering experience in industry. Strong software development best practices: deployment, code management, environment management, and security. Hands-on cloud engineering experience with GCP and/or AWS, including Terraform, Kubernetes/Docker, and basic cloud networking and security. Solid experience with data engineering, including relational databases and data modeling. Experience taking agentic AI products to market or contributing to production-grade AI-driven applications. Expertise in Python or a similar programming language. React/Javascript experience. Alignment with Dyno’s core values - We seek individuals who step up when things get tough, recalibrate when priorities shift, and thrive in a high-expectation environment. A proactive, problem-solving mindset - you don’t just identify challenges; you find solutions. Preferred qualifications Biotech or life sciences domain experience. Experience with LLMs, agent-based systems, or modern AI workflows. Experience with software lifecycle best practices and DevOps. Familiarity with ETL system design and best practices. Experience writing and optimizing SQL queries. Experience with the current landscape of database and data processing technologies. The Company At Dyno Therapeutics, we are a high-energy, high-impact team on a mission to build high-performance genetic technologies that transform patient lives. Our team unites world-class molecular biologists, protein engineers, software developers, data scientists, and machine learning experts—all working together at the intersection of AI and genetic medicine. Our culture is defined by three core values that guide everything we do: One Mission: Everything we do is for the mission. We are a cohesive and motivated team, thinking ahead and supporting one another to overcome challenges. Proactive Responsibility: We take action, inject energy into our work, and hold ourselves accountable for delivering results. Reaching for Excellence: We constantly strive for excellence, fueled by curiosity, adaptability, and the courage to speak hard truths in pursuit of success. These values are more than words—they drive our actions and decisions. Our greatest strength isn’t technology—it’s our work ethic. More than just technologists, we’re a team of relentlessly resourceful problem-solvers: with an unshakable drive we generate breakthroughs at the intersection of AI and genetic medicine. 🚀 What You’ll Give: Bring an unstoppable work ethic, stepping up when things get tough and adapting as priorities shift. Embrace challenges as opportunities, finding solutions where none exist and driving innovation forward. Operate with urgency, responsibility, and resilience, because this mission demands the best from us. 🎯 What You’ll Get: Competitive compensation & equity—your contributions drive results, and we pay accordingly. Mission-aligned, high-trust environment—we succeed together, supporting each other through challenges. A career-defining experience—work at the forefront of AI-driven genetic medicine, tackling problems that reshape healthcare. If you’re ready to push boundaries, build the future, and thrive in a fast-moving, high-impact environment—we’d love to hear from you. At Dyno, we believe in transparent and equitable compensation practices. Base Salary Range: $124,842.05 – 154,084.36/year This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact. This role is eligible for: Annual performance-based bonus Stock options Comprehensive medical, dental, and vision coverage 401(k) plan Flexible paid time off and holidays Perks including on-campus gym membership, onsite lunch, commuter support, and company provided laptop Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity. Equal Employment Opportunity (EEO) Statement We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Fraud Alert: Please be aware of recruitment scams targeting job seekers. Dyno Therapeutics will never make an offer of employment without conducting a formal interview process, nor will we ask for personal information such as financial details over email. Official communication will only come from an @dynotx.com email address. If you are contacted by someone claiming to represent Dyno Therapeutics from any other domain, please report it as spam and report the communication to us at [email protected].

Full job record

Job IDfbd24bee544c5956293fbfec582a94bc96d9b41a
Org ID4d971777-966a-4216-a202-484ea6959684
Source ID09b02f67-0566-4f28-913e-f8d1a6252b1d
Board ID09b02f67-0566-4f28-913e-f8d1a6252b1d
Providergreenhouse
Provider Job Key7732038003
TitleSoftware Engineer II, Computational Platform
Normalized Title
Statusactive
Activeyes
Location TextRemote; Watertown, Massachusetts, United States
DepartmentEngineering
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionMA
CityWatertown
Salary RawSalary Range: $124,842.05 – 154,084
Salary Min124,842.05
Salary Max
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/dynotherapeutics/jobs/7732038003
Apply URLhttps://job-boards.greenhouse.io/dynotherapeutics/jobs/7732038003
First Seen At2026-05-29 22:55:59Z
Last Seen At2026-06-21 07:31:48Z
Last Checked At2026-06-21 07:31:48Z
Last Changed At2026-05-29 22:55:59Z
Inactive At
Source Posted At2026-05-12 14:30:17Z
Source Updated At2026-05-20 18:05:41Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=dynotherapeutics/date=2026-06-21/2026-06-21T07-31-48-109Z-f3f9d22c9da6febabe72f9657eb53e498c436c7fdb2c514993cbc02d1d64fc01.json
Event Fields
{
  "content_hash": "14b829fbd93b783244105838b1af95a93a313d581225905eb854603cfcaf8f03",
  "source_hash": "2665e4c90fa07a833f79062c69119c1c2eb1cf2749f702310e4f2b2fb808b56a",
  "last_changed_at": "2026-05-29T22:55:59.861Z",
  "active_status": "active"
}
Parsed Structured
{
  "dedupe": null,
  "language": "en",
  "location": {
    "raw": "Watertown, Massachusetts, United States",
    "city": "Watertown",
    "region": "MA",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": 124842.05,
  "inferred_at": "2026-06-21T07:31:48.184Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Watertown, Massachusetts, United States",
      "city": "Watertown",
      "region": "MA",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "title": "Software Engineer II, Computational Platform",
  "offices": [
    {
      "id": 4030247003,
      "name": "Watertown HQ",
      "location": "Watertown, Massachusetts, United States",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "Remote; Watertown, Massachusetts, United States"
  },
  "metadata": [],
  "updated_at": "2026-05-20T14:05:41-04:00",
  "departments": [
    {
      "id": 4083025003,
      "name": "Engineering",
      "child_ids": [],
      "parent_id": 4083024003
    }
  ],
  "company_name": "Dyno Therapeutics",
  "requisition_id": 5765105003,
  "first_published": "2026-05-12T10:30:17-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/fbd24bee544c5956293fbfec582a94bc96d9b41a?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/4d971777-966a-4216-a202-484ea6959684JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/09b02f67-0566-4f28-913e-f8d1a6252b1dJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/fbd24bee544c5956293fbfec582a94bc96d9b41a/eventsJSON