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Salary: USD 120,000 - 128,000 / annual
BigTime is an AI-powered Professional Services Automation (PSA) platform used by over 2,500 consulting, IT, engineering, and accounting firms to manage scoping, staffing, time tracking, billing, and margin analysis. The company tracks over $4 billion in billable time annually and is PE-backed, headquartered in Chicago with offices in Phoenix and Wrocław, Poland.
You will join the Technology Team as a DevOps Engineer responsible for building and maintaining the infrastructure, pipelines, and automation that enable reliable and frequent deployments. The platform runs on AWS in a mixed Windows and Linux environment. You'll work independently and collaboratively with engineering and QA teams, bringing a pragmatic, service-first mindset to internal and external stakeholder relationships.
Key responsibilities include:
- Design, build, and maintain AWS infrastructure using Terraform and Terragrunt, with AWS CDK where appropriate
- Deploy and manage AWS services including EC2, S3, RDS (including SQL Server on RDS), ElastiCache, and DocumentDB
- Run containerized workloads on Amazon EKS, ECS, and App Runner; maintain Helm charts and manage deployments with Helmfile
- Build and maintain GitLab CI/CD pipelines to automate build, test, and deployment processes
- Write scripts and tooling to automate manual processes and reduce repetitive operational work
- Manage patching and maintenance across Windows and Linux environments
- Implement and maintain monitoring, logging, and tracing using CloudWatch, Datadog, Prometheus stack, and OpenTelemetry
- Work with external auditors on access controls, encryption, and vulnerability management for SOC 2 compliance
- Support serverless architectures in production
- Write and maintain infrastructure documentation, Disaster Recovery, and Incident Response playbooks
Requirements:
- 3+ years of experience as a DevOps Engineer or similar role
- Bachelor's degree in computer science or related field, or equivalent work experience
- Hands-on experience with AWS services and best practices
- Infrastructure as code experience, preferably Terraform
- Working knowledge of Docker and Kubernetes, including Helm
- Proficiency with Git and GitLab CI/CD
- Experience deploying and monitoring .NET applications
- Scripting skills in Python, PowerShell, Bash, or C#
- Comfort working across Windows and Linux environments
- Working knowledge of SQL, ideally SQL Server
- Strong problem-solving, troubleshooting, and communication skills
- Documentation habits
Nice to have:
- AWS, Terraform, or Kubernetes certifications
- Serverless computing experience (AWS Lambda)
- OpenTelemetry experience
- Configuration management tools (Ansible)
- Highly available, scalable cloud infrastructure experience
- Azure or GCP familiarity
- DevOps and Agile methodology knowledge
- Cloud security best practices knowledge
