Skip to content

Open nowPosted 35 hours ago

Senior Software Engineer

H2 Analytics5 open roles

Pay
CA$120,000 – CA$170,000 a year
Where
Canada
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Software EngineerH2 Analytics · Canada
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on H2 Analytics's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 35 hours ago

The posting

H2 Analytics is redefining how professionals train for high-stakes environments through advanced simulation and data-driven tools. We build EASE (Exercise Architect Suite), a tool used by military, intelligence, law enforcement, and emergency response organizations to develop intelligence-focused mission-critical training exercises.

ABOUT THE TEAM AND ROLE:

Before a training exercise starts, exercise staff build a fictional world of organizations, people, and equipment, and write the intelligence reports and other documents the training audience will receive. During the exercise, those documents go out on a schedule while the trainees work the problem. EASE is where staff build that world, write those documents, and run the exercise. Our mission is to make it easy to develop large-scale exercises without a heavy manual burden.

This is a hands-on builder role; you’ll spend most of your time writing code, designing systems, prototyping, and shipping. We develop primarily in TypeScript and Vue, and host in AWS and on-premises. We ship often, value collaboration, and are driven by results rather than process. We use a lightweight Scrum practice and are dedicated to continuous improvement.

The engineering team is 100% remote; our head office is located in Ottawa and you’re welcome to come in. This role can be located anywhere in Canada with flexible hours, though our core meetings are oriented on the Eastern time zone.

PROBLEMS WE’RE WORKING ON:

- Using generative AI to speed up the creation of training goals and content, evaluating models to improve what local models can do, and building AI tools that do what wasn’t possible before

- Enabling users to better identify gaps in training competencies and data, linking scenario data into documents, disseminating training material however each customer wants it, and visualizing exercise data in meaningful ways

- Connecting external and in-house data simulators to create complex, enriched training scenarios, and running those simulations at scale to measure how different conditions affect the outcome

- Running the same product in AWS and in air-gapped customer data centers

ABOUT YOU:

You are a well-rounded senior software engineer with at least 6 years of experience building complex web applications and backend services as a full-stack engineer, with a minimum of 2 years at the senior level. You’re comfortable taking the lead on complex features, owning them end-to-end, and mentoring less-experienced developers.

WE LOOK FOR:

- Strong architecture and design skills

- Full-stack development expertise with TypeScript and JavaScript

- Advanced knowledge of reactive UI frameworks (React, Vue…)

- Advanced database experience (SQL / NoSQL), particularly with MongoDB, PostgreSQL, PostGIS, and geospatial data

- Experience developing REST APIs

- Deep experience with Linux and Docker containers

- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience

- This role is only open to people able to obtain Secret security clearance in Canada due to the nature of our work.

NICE TO HAVE:

- Experience building and using generative AI and LLMs: prompt design, vector embeddings, deploying local LLMs

- Modelling and simulation or operations research experience, such as design of experiments, Monte Carlo methods, sensitivity analysis, or running large batches of simulations on distributed compute

- Python or R for statistical analysis

- Experience architecting and maintaining production cloud infrastructure (AWS, Terraform, devops are a plus)

- Architecting microservices and large-scale distributed systems for performance, scalability, high availability

- Experience interviewing software engineering candidates at a senior level

- Software security background; authentication and authorization, OWASP top 10

- A background in defence research, simulation engineering, or military service

WHAT YOU’LL OWN:

- Lead the architectural design and implementation of EASE features

- Full-stack development including developing APIs, UX, automated tests, deployment

- Gathering stakeholder feedback and defining features to meet customer needs

- Writing proposals, carrying out code experiments, and building prototypes

- AWS and on-premises deployments

WHAT YOU’LL HELP WITH:

- Identify and push for technical and process improvements

- Influencing what we build and how we build it

- Improving our CI/CD and simplifying deployment and administration

- Maintain and diagnose our software as it runs in production in AWS or in customer data centers, in support of our customers

- Drive performance and scalability improvements

WHAT YOU’LL TEACH:

- Advanced coding practices and architectural patterns

- Mentoring junior developers and fostering best practices

- Review and approve code contributions from team members, ensuring quality, security, compliance

WHAT YOU’LL LEARN:

- An appreciation for how defence, intelligence, and emergency response teams train for real-world scenarios

- How to build a team in a small, fast-moving startup

WHAT WE OFFER:

- The annual base salary for this role is between CAD $120k and $170k, based on skill and experience

- Extended health insurance for employees and their dependants

- A generous and flexible vacation policy. We encourage time off to recharge

- Company equity in a growing startup

- Fully remote

- We are committed to creating a supportive and diverse company

Vacancy Status:

This is a new role on our team for which we are actively recruiting.

How we use AI:

To help us efficiently review the high volume of applications we receive, H2 Analytics uses AI tools as part of our initial screening process. These tools help identify relevant skills and experience within your resume. However, all final shortlisting and hiring decisions are made by our human recruitment team.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against H2 Analytics's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on H2 Analytics's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    H2 Analytics's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.