Full Time Jobs in Hartford, CT

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Looking for Full Time jobs in Hartford, CT? Browse our curated listings with transparent salary information to find the perfect Full Time position in the Hartford, CT area.

Assistant Nurse Manager (RN) - Med/Surg

Company:

Location: Hartford, CT

Posted Feb 03, 2025

store manager - Wallingford, CT

Company:

Location: Wallingford, CT

Posted Feb 03, 2025

Azure DevOps Engineer

Company: McCain Foods

Location: Hartford, CT

Posted Feb 03, 2025

McCain Foods is seeking an Azure DevOps Engineer to join their Digital Technology team. The role involves assisting various Azure stakeholders in day-to-day operations and new deployments within the McCain Azure environment. Key responsibilities include using Log Analytics, deploying VMs, configuring for optimal cost, performance, and security, securing data, backing up data, configuring long-term archival storage, encrypting data, protecting Azure Active Directory accounts, reducing the attack surface, deploying and configuring firewalls, VPN gateways, NSGs, ASGs, setting up Azure budgets, reporting on Azure consumption, implementing Azure resource reservations, using Terraform, deploying and configuring virtual networks and hubs, implementing VNet peering, managing IP addresses, and more. The ideal candidate should have 5-7 years of IT administration/engineering experience, 2+ years in Azure administration/engineering, a Bachelor's degree in computer science or related field, broad exposure to IT infrastructure and application landscape, experience in day-to-day operations in Azure Platform, experience with cost management in Azure Platform, experience in Azure deployments using Jira, Azure DevOps, and Terraform, customer service experience, empathetic listening skills, and Microsoft certifications are desired. The compensation package is $85,500 - $114,000 annually with bonus eligibility, and benefits include health coverage, retirement savings, leave support, wellbeing programs, and more. McCain Foods is an equal opportunity employer committed to diversity and inclusion.

Frequently Asked Questions

What are typical salary ranges for Full Time tech roles by seniority?
Junior software engineer: $70k–$90k. Mid‑level: $90k–$120k. Senior: $120k–$160k. Lead/Staff: $160k–$200k. Principal/Director: $200k–$260k. These ranges reflect U.S. averages and vary by city (e.g., San Francisco vs. Austin).
What skills and certifications are most valuable for Full Time positions?
Core tech stacks (Java, Python, Go) plus cloud expertise (AWS Certified Solutions Architect, Azure Fundamentals, GCP Professional Data Engineer) and container orchestration (Certified Kubernetes Administrator) drive hiring. Security credentials like CISSP or CompTIA Security+ are mandatory for security‑centric roles. Mastery of CI/CD tooling (GitHub Actions, CircleCI) and data tools (Snowflake, BigQuery) also boost competitiveness.
Is remote work available for Full Time tech roles?
Yes—over 70% of full‑time listings offer remote or hybrid options. Companies typically require a home office with a dedicated desk, dual‑monitor setup, and a 44‑hour workweek split between on‑site meetings and remote coding sessions. Remote roles often include a stipend for internet and electricity, and some firms provide a quarterly stipend for home‑office upgrades.
What career progression paths exist for Full Time tech employees?
Typical paths: Engineer I → Engineer II → Senior Engineer → Staff Engineer → Principal Engineer → Director. For product: Associate PM → PM → Senior PM → Product Lead → VP Product. Advancement hinges on measurable impact (e.g., feature launch velocity, code quality improvements) and leadership of cross‑functional initiatives.
What industry trends affect Full Time tech employment?
Artificial intelligence, cloud‑native architecture, edge computing, and cybersecurity are reshaping the full‑time landscape. Companies prioritize talent that can develop AI models, orchestrate microservices with Kubernetes, and harden systems against zero‑trust attacks. Those who stay current with emerging tools and frameworks—such as TensorFlow, Pulumi, and Chaos Engineering practices—see higher demand and better compensation.

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