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Added 3 months ago
Senior API Automation Test Engineer
Cognizant
Toronto, Ontario
$65,000 to $90,000 CAD / year
Full-time
We are seeking a Senior Automation Test Engineer with strong Java Programming skills to design, develop, and maintain automated testing frameworks. The role focuses on designing,…
Added 3 months ago
Senior Software Engineer - Backend
Evertz
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Full-time
We are seeking a highly motivated Senior Software Engineer to join our growing engineering team. This role offers an exciting opportunity to design and build scalable, production grade…
Added 3 months ago
Tech Lead, Software Development
Univeris
Toronto, Ontario
$100,000 to $130,000 CAD / year
Full-time
At Univeris, a Software Development Technical Team Lead is a hands-on senior software engineer and people manager, accountable for the technical design, development, quality of…
Added 3 months ago
Senior Automation Engineer
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We are seeking a highly skilled Senior Quality Engineer to join our engineering organization. This role is responsible for driving quality across the software development lifecycle through…
Added 1 month ago
Senior Software Engineer, Applied AI (Toronto)
Justworks
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$188,000 to $242,000 CAD / year
We are seeking a Senior Software Engineer with a strong passion for building AI-native systems in a product environment. The ideal candidate will be able to take ownership of large segments…
Added 1 month ago
Software Engineer - Team Lead (Forward Deployed)
Volaris Group
Mississauga, ON · Canada - Mississauga, ON
Full-time
We’re looking for a Software Engineer Team Lead (Forward Deployed) to join our customer engineering team as a player/coach. You’ll work directly with enterprise clients to design,…
Added 1 month ago
Jr. NSP Technical Care Specialist
Nokia
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As a Junior Software Technical Support Engineer supporting the Nokia Network Services Platform (NSP), you will work closely with customers and internal Nokia teams to diagnose and resolve…
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Senior Java & AI Remediation Engineer - ITS5
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Working Title: Senior Java & AI Remediation Engineer
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Senior Automation Engineer
Tubi
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We are looking for a talented Automation Engineer to join our Automation Engineering team in Toronto. In this role, you will be responsible for designing and implementing automated tests…
Added 1 month ago
Senior Software Developer, API Platform
Miovision
Remote, Canada
$150,000 to $170,000 CAD / year
Full-time · Remote
As a Senior Modern Software Engineer, you will sit at the intersection of Context, AI, and Core Engineering - combining deep domain understanding and business value alignment with AI-first…
Added 1 month ago
Senior Fullstack Engineer
NimbleRx
Toronto, ON
$195,000 to $228,000 CAD / year
Full-time
As a Senior Full-Stack Engineer, you will have a hand in architecting the technology and customer experience that are pivotal to multiple web products for patients, pharmacies and other…
Added 1 month ago
Senior Backend Engineer
NimbleRx
Toronto, ON
$195,000 to $228,000 CAD / year
Full-time
As a Senior Backend Engineer, you will have a hand in architecting the technology and customer experience that are pivotal to multiple web products for patients, pharmacies and other…
Added 3 months ago
DevOps Engineer
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Montreal, Quebec
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The Senior DevOps & Python Platform Engineer designs, builds, and operates highly available enterprise content management platforms supporting both Application Enterprise Content Management…
Added 3 months ago
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
$150,000 to $190,000 CAD / year
Full-time
As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge…
Added 9 days ago
Senior Java Developer (with Python, AWS and Terraform) - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
$65 to $85 USD / hour
Contract
We are seeking a skilled and passionate Senior Software Engineer with strong expertise in Java and AWS to join our technology team. The ideal candidate will have extensive hands-on…
Added 2 months ago
Senior Backend & Infrastructure Engineer
Scispot
Canada
Full-time
We are looking for a senior backend and infrastructure engineer who treats production as a product.
Added 9 days ago
Senior Software Engineer
ecobee
Toronto, ON
Full-time
We also use Java, Python, and JavaScript, and value choosing the right tool for the job.
Added 3 months ago
ead Full Stack Developer (C# / .NET Core / Azure)
Aarorn Technologies Inc
Toronto, Ontario
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At its core, this role requires excellent problem-solving skills and C#/.Net, Java, Python and full stack coding capability. This role will need to effectively communicate, collaborate, and…
Added 16 days ago
Senior Software Engineer / Software Developer (React Native)
PlayStation Global
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We are seeking a Senior Software Engineer / Software Developer specializing in React Native and high-performance frontend development for mobile platforms. In this role, you will define the…
Added 1 month ago
Senior Platform Engineer - AI Platforms & Deployment - Landmark
Halliburton
Calgary, AB
The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off…
Added 1 month ago
Senior Software Engineer, Backend
Camunda
Remote, Canada
Full-time · Remote
As a Senior Software Engineer, Backend, you’ll take ownership of automated reliability testing and chaos engineering at the core of Camunda 8. This role thrives on curiosity,…
Added 1 month ago
Junior Software Engineer
Scotiabank
Toronto, ON
Follow guidance from senior team members and leads
Added 9 days ago
Senior Airborne Platform Automation Test Engineer III
Gogo
Ottawa, ON
Full-time
As a key member of the Gogo Business Aviation engineering team, the Automation Test Engineer will be responsible for quality assurance and testing of software associated with embedded Linux…
Added 9 days ago
Senior Cloud Software Engineer
Harvey Nash
Vancouver, BC
Full-time
…environments. As the company continues to scale, they're looking for a Senior Cloud Software Engineer to help build and evolve the cloud platform powering their…
Added 3 months ago
Senior Software Engineer (Vancouver Hybrid)
Boomi
Vancouver, British Columbia
Full-time
5+ years hands-on experience with Java, Advanced Java, JUnit, CI/CD, and Source Control Systems

Scispot

Senior Backend & Infrastructure Engineer

Canada

Job type: Full-time
Experience: Roughly 3+ years of experience building and operating backend, platform, DevOps, SRE, or infrastructure systems.
Posting language: English
Posted: Jul 14, 2026

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Original job description

Build the technical backbone for labs that run themselves.

This is a hands-on backend and infrastructure role. You will write production code, make architecture choices, and own systems from design through deployment, monitoring, and incident response.

Why Scispot

Scispot began after my brother Guru and I (Satya) watched someone they loved run out of time while slow, manual lab processes delayed a promising treatment. We are building Scispot so life-saving science can move at software speed.
Biotech & Lifescience teams should not have to choose between moving fast and keeping their data clean, connected, traceable, and ready for AI.
We are building the digital backbone for scientific discovery. Scispot connects lab operations, instrument data, scientific workflows, and AI-driven insights in one platform. This becomes the memory layer for lifescience teams for their agents.
Your code will not optimize clicks for another consumer app. It will help scientists run experiments faster, trace samples accurately, automate repetitive work, and move treatments closer to patients.
This is a rare chance to build infrastructure at the intersection of software, AI, data, and biology.

Today, Scispot supports more than 100 labs, 250+ instrument types, over 1,000 experiments each month, and millions of samples. After raising an $8M Series A, we are expanding the engineering team to build the reliable platform beneath the next generation of lab automation and AI

The role

We are looking for a senior backend and infrastructure engineer who treats production as a product.

You will own the systems beneath Scispot: backend services, messaging, databases, cloud infrastructure, CI/CD, observability, security, and reliability.

This is not an ops-only role.

A Normal Week May Include

Tracing a RabbitMQ bottleneck.
Building a FastAPI or Spring Boot service.
Tuning PostgreSQL or ElasticSearch.
Improving an EKS rollout.
Designing a safer AWS and Azure boundary.
Reducing cloud cost without weakening reliability.
Debugging a production issue across code, queues, caches, and infrastructure.
Optimising the workload for AI pipelines

You will work closely with the founders and product engineers.

You will get broad goals, real customer stakes, and room to decide how to solve the problem. We want someone who acts like an owner, not someone who waits for a perfect ticket.

What You’ll Own

Design, build, and operate cloud infrastructure across AWS and Azure for scale, reliability, security, and cost efficiency.
Build and evolve backend services in Python and FastAPI, Java and Spring Boot, or closely related frameworks.
Own backend reliability and performance across services, dependencies, queues, caches, databases, and external integrations.
Build and improve CI/CD pipelines so the team can deploy quickly, safely, and with clear rollback paths.
Run production end to end. This includes deployments, monitoring, alerting, debugging, incident response, post-incident follow-up, and capacity planning.
Design event-driven and asynchronous workflows using RabbitMQ or similar messaging systems.
Use Redis and other caching patterns to improve latency, throughput, and resilience.
Operate relational data stores in RDS, graph workloads in Cosmos DB, and NoSQL or vector workloads in MongoDB Atlas.
Build useful observability with logs, metrics, traces, dashboards, and alerts using tools such as Datadog and ELK.
Improve network and application security. This includes VPC design, secrets management, access control, encryption, and auditability.
Turn repeated operational work into code, tools, runbooks, and guardrails that raise developer velocity.
Make clear trade-offs among speed, reliability, maintainability, compliance, and cloud cost.

Problems you may work on

How do we absorb bursts of instrument and workflow data without losing work, creating duplicates, or slowing customer-facing services?
How do we preserve sample lineage, permissions, and audit history as data moves across services and cloud systems?
How do we make graph and vector retrieval dependable enough to support AI features used in real lab workflows?
How do we let engineers ship many services quickly while keeping deployments observable, reversible, and safe?
How do we scale across AWS and Azure without building fragile one-off infrastructure or wasting cloud spend?
How do we find production risks before customers do, then remove the root cause instead of only treating the symptom?

What Success Looks Like In Your First 90 Days

First 30 days

Map the architecture, critical customer flows, deployment path, data stores, and main production risks.
Ship at least one useful production improvement in a backend service, deployment workflow, observability path, or reliability issue.
Join incident response and learn the current operating model.
Establish a baseline for the system health metrics that matter most.
Understand all AI traces leveraging langfuse and suggesting the feedback pipeline for AI workloads

By 60 days

Become the clear owner of at least one service or infrastructure domain.
Remove a meaningful bottleneck or source of operational risk in messaging, caching, databases, deployments, or cloud infrastructure.
Improve CI/CD, dashboards, alerts, runbooks, or automated recovery so the team can move faster with less production risk.

By 90 days

Lead and launch a major backend or infrastructure initiative from design through production rollout.
Show a measurable gain in reliability, developer speed, performance, cloud cost, or incident reduction.
Present a practical roadmap for the next two quarters, including the highest-leverage technical risks, trade-offs, and milestones.

What We’re Looking For

Roughly 3+ years of experience building and operating backend, platform, DevOps, SRE, or infrastructure systems. Strong evidence matters more than a precise year count.
Strong production backend experience with Python and FastAPI, Java and Spring Boot, or a comparable stack.
A solid grasp of distributed systems, asynchronous processing, failure modes, retries, idempotency, and message-driven architecture.
Hands-on experience with AWS and Azure. You have made practical decisions about networking, compute, storage, identity, security, and cost.
Solid understanding of AI pipelines, prompt looping, langfuse tracing, and context engineering.
Experience with Docker and Kubernetes. Production EKS experience is especially useful.
Strong database fundamentals across relational systems such as MySQL or PostgreSQL.
Exposure to graph, NoSQL, or vector data systems.
Experience designing and consuming REST APIs.
Experience operating services that other teams or customers depend on.
Proven ownership of systems from architecture and implementation through deployment, monitoring, debugging, and optimization.
Strong production debugging and performance-tuning skills.
The ability to move from a symptom to the root cause across application code and infrastructure.
Good security instincts around secrets, access control, network boundaries, data protection, and regulated environments.
Clear written and verbal communication. You explain trade-offs, surface risks early, and leave systems easier for others to operate.

Strong pluses

Infrastructure as code with Terraform or a similar tool.
Datadog, ELK, OpenTelemetry, or another observability stack.
Microservices and event-driven systems at meaningful production scale.
Vector search, AI infrastructure, or LLM-powered applications.
Security, compliance, audit trails, or regulated software environments.
Experience in an early-stage startup where you operated beyond a narrow job boundary.
Life-science, lab, healthcare, manufacturing, or other data-heavy workflow experience.
Building short term or long term memory layer using databases that work well with agents.

Our stack

Python, FastAPI, Java, Spring Boot, REST APIs, RabbitMQ, Redis, MySQL, PostgreSQL, AWS RDS, Cosmos DB, MongoDB Atlas, Docker, Kubernetes, EKS, AWS, Azure, Terraform, Datadog, and ELK.

You do not need every exact vendor on day one.

You do need strong backend and systems fundamentals, recent hands-on production work, and the ability to learn the missing pieces quickly.

What High Agency Means Here

You do not wait for a detailed ticket when the system, customer impact, and goal are clear.
When production breaks, you help diagnose it, mitigate it, communicate clearly, and prevent a repeat.
You can choose a practical first version without creating a dead end.
You challenge weak assumptions with data and propose a better path.
You care about the outcome after launch, not only whether the code merged.
You make the engineers around you faster through tools, documentation, feedback, and sound technical judgment.

This role is probably not for you if

You want to work only in application code or only in cloud configuration. This role spans both.
You need requirements to be complete before you can start making progress.
You prefer handing production issues to another team once your code is deployed.
You avoid on-call work, incident response, or the operational side of software.
You optimize for elegant abstractions before proving that they solve the real problem.
You want the narrow boundaries and long approval chains of a large company.

Why join Scispot

Build systems that sit between physical lab work and AI-driven action. Reliability here has a direct effect on how fast scientists can work.
Own important production systems early. Your decisions will shape the platform rather than disappear into a large org chart.
Work directly with founders and a small team that values speed, precision, clear thinking, and honest feedback.
Solve hard problems across backend engineering, cloud infrastructure, distributed data, security, and developer experience.
Join at a stage with real customer usage and fresh capital, while the technical foundation is still open to meaningful change.

How To Apply

Along with your resume or YC profile, tell us about one production system you personally owned.

In a Few Bullets, Explain

What the system did and what was at stake.
What was unclear or broken when you took ownership.
The key technical choices you made.
The trade-offs you considered.
A production failure or hard constraint you had to work through.
The result for users, reliability, speed, cost, or the engineering team.

Links to code, technical writing, architecture notes, open-source work, or a product you shipped are welcome.

We care more about clear evidence of ownership than employer prestige or polished interview language.

Join Scispot if you want to build like a founder, remain close to users, and apply software and AI to problems that matter beyond software. You will have high autonomy, direct feedback, hard technical problems, and a visible link between what you ship and how quickly scientists can do their work.

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More about this job

Responsibilities

Design, build, and operate cloud infrastructure and backend services across AWS and Azure to support lab automation and AI. Own the entire production lifecycle, including deployment, monitoring, security, and incident response.

Requirements

Requires 3+ years of experience in backend or infrastructure engineering with proficiency in Python/FastAPI or Java/Spring Boot. Must have hands-on experience with cloud platforms, containerization, and distributed data systems.

Skills

Python
FastAPI
Java
Spring Boot
AWS
Azure
Kubernetes
Docker
PostgreSQL
RabbitMQ
Redis
Terraform
Datadog
Distributed Systems
CI/CD
Infrastructure as Code

Visa sponsorship

Not detected in the job text

Hiring contact

Satya

Keywords

Backend Engineering
Infrastructure
DevOps
SRE
Cloud Computing
AWS
Azure
Python
Java
FastAPI
Spring Boot
RabbitMQ
Redis
PostgreSQL
MySQL
Cosmos DB
MongoDB Atlas
Docker
Kubernetes
EKS
Terraform
Datadog
ELK Stack
OpenTelemetry
Vector Search
LLM
AI Pipelines
Biotechnology
Event-Driven Architecture
Microservices

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