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Docker Jobs in Connecticut (NOW HIRING)

The Walt Disney Company

Sr Software Engineer

Bristol, CT · On-site

$122K - $161K/yr

... Docker, Gitlab-CI, Terraform/Cloud formation, and Jenkins • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). • Expertise with full lifecycle of ...

Sidmans

Google CCAI Expert

East Hartford, CT · On-site

Strong backend development skills (Python)Docker and cloud-native microservices * Generative AI / ML (Required)Experience delivering LLM-based solutions in production * Familiarity with RAG ...

Spark Tek Inc

.Net Full stack developer

Stamford, CT · On-site

... Docker and Kubernetes is a plus, not a filter criterion. Qualifications : Required : • 10+ years total experience. • Strong in .NET Core backend with practical coding exposure. • At least 1 ...

APN Consulting, Inc.

React Engineer

Stamford, CT · On-site

... Docker) and application configuration. • Knowledge of caching strategies and optimization techniques. • Knowledge of Next.js for server-side rendering and SEO optimization. • Experience with ...

Info Way Solutions

DevSecOps Engineer

Hartford, CT · On-site

... Docker, and Kubernetes-native security solutions (e.g., GKE Autopilot, PodSecurityPolicies, Kyverno). • Vulnerability Management Integrate SAST, DAST, and dependency scanning tools (e.g., SonarQube ...

Bespoke Labs

Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

... Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Danbury, CT · On-site

$116K - $140K/yr

... Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

... Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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$57

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How much do docker jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for docker in Connecticut is $57.58, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.11 per hour, depending on experience, location, and employer.

What are some common challenges dockers face in their day-to-day work?

Dockers frequently encounter physically demanding tasks and must work in various weather conditions, which can be challenging. Efficient coordination is required to handle heavy or hazardous cargo safely and to ensure that shipments are tracked and documented correctly. Working as part of a larger team, dockers must also adapt to changing schedules and priorities, especially when cargo ships arrive outside of regular hours. Being mindful of safety protocols and remaining alert on busy docks helps prevent accidents and promote a productive work environment. Despite these challenges, the role offers valuable experience for career advancement in logistics, port operations, and supervisory positions.

What are the key skills and qualifications needed to thrive as a docker?

To thrive as a Docker (dockworker or longshoreman), you need physical strength, stamina, and an understanding of cargo handling and safety protocols, often gained through on-the-job training or related experience. Familiarity with warehouse equipment such as forklifts, pallet jacks, and computerized inventory systems is beneficial, along with any certifications required for heavy machinery operation. Attention to detail, teamwork, and effective communication are valuable soft skills in this role. These abilities are essential to ensure safe, efficient loading and unloading of goods, prevent workplace accidents, and maintain smooth port or warehouse operations.

What is a docker?

A Docker job typically refers to a role where a professional works with Docker to create, manage, and deploy containerized applications. This may involve writing Dockerfiles, configuring container orchestration tools like Kubernetes, and optimizing container performance. Docker professionals often collaborate with developers and DevOps teams to ensure seamless application deployment and scalability.

What are the most commonly searched types of Docker jobs in Connecticut?

The most popular types of Docker jobs in Connecticut are:

What are popular job titles related to Docker jobs in Connecticut?

For Docker jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Docker jobs in Connecticut look for?

The top searched job categories for Docker jobs in Connecticut are:

Docker jobs near you
Infographic showing various Docker job openings in Connecticut as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $119,775 per year, or $57.6 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Stamford, CT • Remote

$80 - $110/hr

Part-time

Posted 14 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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