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Senior Python Developer Jobs in Crystal Lake, IL

Forhyre

Big Data Engineer

Rolling Meadows, IL

$56 - $74.25/hr

Looking for an experienced Senior Big Data Developer Experience: 8 - 10 years Job Location: Rolling Meadows, IL Requirements Primary / Essential Skills : SPARK with Scala or Python Secondary ...

CDW

Senior Data Engineer

Vernon Hills, IL

$103.30K - $140.30K/yr

The Senior Data Engineer designs, builds, and maintains scalable data pipelines and Lakehouse ... Proficiency in Python, including PySpark, and SQL. * Hands‑on experience with Spark, Delta Lake ...

Paylocity

Senior Engineer Data, Pipeline Team

Schaumburg, IL · On-site

$103.10K - $141.60K/yr

Position Overview Join our Pipeline Team as a Senior Data Engineer - a role designed for a software ... Strong knowledge of software development patterns , applying Python and "Infrastructure as Code ...

HHAeXchange

Sr. Software Engineer

Mundelein, IL · Remote

$140K - $160K/yr

We're looking for a Sr. Full Stack Engineer who's eager to think big and build products that make a ... Proficiency with backend-development, such as Go, NodeJS, or Python (Go experience strongly ...

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Senior Python Developer information

See Crystal Lake, IL salary details

$53.3K

$137.7K

$189.1K

How much do senior python developer jobs pay per year?

As of May 31, 2026, the average yearly pay for senior python developer in Crystal Lake, IL is $137,685.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $158,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Python Developer, and why are they important?

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by Senior Python Developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.

What are the main responsibilities of a Senior Python Developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

What is the difference between Senior Python Developer vs Python Developer?

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

What are the most commonly searched types of Python Developer jobs in Crystal Lake, IL? The most popular types of Python Developer jobs in Crystal Lake, IL are:
What are popular job titles related to Senior Python Developer jobs in Crystal Lake, IL? For Senior Python Developer jobs in Crystal Lake, IL, the most frequently searched job titles are:
What cities near Crystal Lake, IL are hiring for Senior Python Developer jobs? Cities near Crystal Lake, IL with the most Senior Python Developer job openings:
Senior Python Developer jobs near you
Infographic showing various Senior Python Developer job openings in Crystal Lake, IL as of May 2026, with employment types broken down into 76% Full Time, 15% Part Time, 1% Temporary, 7% Contract, and 1% Nights. Highlights an 92% Physical, 5% Hybrid, and 3% Remote job distribution, with an average salary of $137,685 per year, or $66.2 per hour.
Senior Site Reliability Engineer

Senior Site Reliability Engineer

Parallel Domain

Mundelein, IL • Remote

$58.25 - $77.50/hr

Full-time

Posted 2 days ago

Job description

About the Role

Before an autonomous vehicle navigates a busy intersection, before a robot learns to pick and place in a warehouse, before any Physical AI system is trusted in the real world, it has to prove itself in ours. Parallel Domain builds the platform that validates the next generation of autonomous systems in high-fidelity virtual environments, and the infrastructure underneath that platform is what makes simulation at scale possible.

We're hiring a Senior Site Reliability Engineer to help build and operate that infrastructure. This role sits at the core of how we run large-scale, distributed simulation workloads for autonomous-systems testing and validation. You'll work across multi-region AWS infrastructure, operate Kubernetes at scale, and contribute directly to reliability, security, and deployment systems that the rest of the engineering org depends on.

This is a hands-on role with the broad ownership typical of a startup. You'll partner closely with platform, simulation, and ML teams to keep the system running smoothly and evolving. We're growing the team—two of these roles are open—and the work is substantive: multi-region GPU scheduling, Windows workloads on Kubernetes, large-scale batch simulation, and an enterprise product direction that will require rethinking parts of how we deploy and operate.

Responsibilities

  • Infrastructure ownership and cloud operations. Design, build, and maintain multi-region AWS infrastructure using Terraform. Operate and scale EKS clusters across production regions: autoscaling, node lifecycle, workload health. Manage networking across environments: VPC design, DNS, load balancing, and cross-region connectivity. Support infrastructure changes, migrations, and expansions into new regions. Contribute to and improve GitOps-based deployment workflows using GitHub Actions, Helm, and Kustomize.

  • Reliability engineering and incident response. Help build and run incident management processes: severity definitions, escalation paths, on-call practices. Lead incident response, debugging, and root-cause analysis. Write postmortems and drive systemic reliability improvements from what they surface. Improve observability across metrics, logging, tracing, and dashboards. Support GPU and batch workloads running on Kubernetes.

  • Security and access management. Provide security-conscious feedback on platform architecture decisions. Own cloud IAM governance: roles, policies, and access boundaries across accounts and services. Lead compliance-adjacent work including audit-readiness, partner certification requirements, and supporting responses to customer security questionnaires.

  • Platform tooling and developer experience. Improve CI/CD pipelines and infrastructure validation. Support engineers with infrastructure debugging, environment setup, and performance issues. Contribute to tooling and automation in Python and Bash. Take on adjacent responsibilities as needed in a startup environment.
 
Required Qualifications

  • Experience. 5+ years in SRE, DevOps, or infrastructure engineering roles, with a track record of operating production systems across multiple regions.

  • Terraform. Modules, state management, and multi-environment patterns.

  • AWS depth. Solid experience across VPC, IAM, EKS, S3, and CloudWatch.

  • Kubernetes expertise. Cluster operations, autoscaling, RBAC, and Helm.

  • CI/CD and GitOps. Experience with GitHub Actions, ArgoCD, or similar workflows.

  • Networking fundamentals. CIDR, DNS, load balancing, VPN, and cross-region connectivity.

  • Observability. Experience with tooling such as Prometheus and Grafana.

  • Scripting. Comfort with Python and Bash for tooling and automation.

  • Cross-platform familiarity. Working knowledge of both Linux and Windows environments. Operational experience supporting Windows-based workloads is a meaningful advantage.

  • Pragmatism and ownership. Comfortable in a fast-moving startup with evolving priorities. You take ownership of systems while collaborating closely with other teams, and you're pragmatic about tradeoffs between speed, reliability, and complexity.
 
Preferred Qualifications

  • Windows on Kubernetes. Experience with Windows node pools, Windows AMIs, and GPU-adjacent components on K8s.

  • GPU scheduling. Familiarity with GPU scheduling on Kubernetes, including NVIDIA device plugin configuration.

  • Domain workloads. Experience supporting simulation, ML, or rendering workloads in cloud infrastructure.

  • AWS extras. Exposure to AWS Storage Gateway, Active Directory integrations, or AWS Transfer Family.

  • Service mesh. Familiarity with service proxy or service mesh patterns.

  • Container OS. Experience with container-optimized OS images (e.g., Bottlerocket, Packer).

  • Cost optimization. Cloud cost optimization at scale.
 
Core Tools
Terraform · AWS · Kubernetes · Helm · Kustomize · ArgoCD · GitHub Actions · Prometheus · Grafana · Docker · Python · Bash
What Makes a Great Candidate
You think in failure modes and proactively surface issues. You hold a principled view on security and push back constructively when designs introduce unnecessary risk. You communicate clearly across engineering, product, and customer-facing teams, flagging issues with urgency proportional to customer impact. You take end-to-end ownership of complex efforts and know when to push for the clean solution versus the pragmatic one.
Base salary range of CAD $145,000–$185,000, depending on skills, qualifications, and experience, plus equity, full health/dental/vision coverage, learning stipend, and generous vacation. This role is remote-friendly across Canada and the US Pacific Northwest.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.