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Senior Python Developer Jobs in Bloomfield, CT (NOW HIRING)

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Deep desire for automation using devops practices and toolsets * Have a desire to simplify;be ... Java or Scala and Python * 3+ years of working experience in Apache Spark, PySpark, Apache Airflow ...

Vancord

Senior Security Engineer

Glastonbury, CT · Remote

$95K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Vancord is seeking a Senior Security Engineer to serve as our SOC Lead. This is primarily a ... Experience using programming languages such as Python to automate security tasks. * A strong ...

Hexplora

Senior Java Full Stack Developer

Holyoke, MA · On-site

$51.50 - $66.50/hr

Senior Java Full Stack Developer (Enterprise Integration & AWS) Location: Holyoke, MA(Hybrid ... Familiarity with Spring Batch and Python scripting is a plus Infowave Systems is an equal ...

W3Global Inc.

Senior Electrical Engineer

Windsor, CT

$100K - $150K/yr

Our client is seeking a Senior Electrical Engineer to drive the design and development of advanced ... Programming or scripting experience (e.g., Python, C++) * Proficiency with Visio and standard ...

The Hartford

Senior AI Machine Learning Engineer

Hartford, CT · Hybrid

$123K - $162K/yr

Master's degree in related field or 5+ years of equivalent experience in a research or DevOps ... Strong object oriented development experience using Python, Java, C# * Familiarity with big data ...

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All JobsPython Developer JobsSenior Python Developer JobsSenior Python Developer Jobs in Bloomfield, CT

Senior Python Developer information

See Bloomfield, CT salary details

$55K

$141.9K

$194.9K

How much do senior python developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior python developer in Bloomfield, CT is $141,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $163,400.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a senior Python developer?

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 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.

Are senior Python developers still in demand?

Senior Python developers remain in high demand due to the language's versatility in web development, data analysis, machine learning, and automation. Companies seek experienced developers with skills in frameworks like Django or Flask, and proficiency in cloud platforms and APIs enhances job prospects.

How much does a senior Python developer make?

A senior Python developer typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess strong skills in frameworks like Django or Flask and may hold certifications or advanced degrees that influence salary levels.

What does a senior Python developer do?

A senior Python developer designs, develops, and maintains complex software applications using Python. They often lead projects, review code, optimize performance, and collaborate with cross-functional teams, requiring strong problem-solving skills and knowledge of frameworks like Django or Flask. Additionally, they may mentor junior developers and ensure code quality through testing and best practices.

What are popular job titles related to Senior Python Developer jobs in Bloomfield, CT?

For Senior Python Developer jobs in Bloomfield, CT, the most frequently searched job titles are:

What job categories do people searching Senior Python Developer jobs in Bloomfield, CT look for?

The top searched job categories for Senior Python Developer jobs in Bloomfield, CT are:

What cities near Bloomfield, CT are hiring for Senior Python Developer jobs?

Cities near Bloomfield, CT with the most Senior Python Developer job openings:

Senior Python Developer jobs near you
Infographic showing various Senior Python Developer job openings in Bloomfield, CT as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $141,879 per year, or $68.2 per hour.

Senior Software Engineer - Platform & Agentic AI Engineering

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$123K - $162K/yr

Full-time

Posted 17 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 310 rated insurance

Job description

Senior Staff Software Engineer - IE07HE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
This requisition hires Senior AI Engineers who will:
Design and deliver production-grade Agentic AI systems using Google ADK, Anthropic MCP, LangGraph/LangChain, and modern Agentic protocols. Build secure, scalable AI platform capabilities with strong engineering fundamentals in Python/Typescript, Terraform, and GCP. Enable enterprise adoption of AI by creating reusable frameworks, APIs, and platform capabilities aligned with engineering standards, compliance needs, and modern cloud patterns.
Overview
The Senior AI Engineer will architect, build, and operationalize advanced AI and multi-agent solutions leveraging RAG, GraphRAG, Agentic AI frameworks, and enterprise-grade cloud engineering.
A key requirement is robust, practical experience implementing MCP and ADK Agentic Protocols, with a solid understanding of:
  • Agent memory
  • Session and context lifecycle management
  • Tooling interfaces
  • Secure capability boundaries
  • Permissions and role enforcement

Additionally, candidates must have hands-on experience with AlloyDB's AI/Agentic capabilities-including vector indexing, embedding support, and tight integration with Vertex AI-as well as strong fundamentals in PostgreSQL / Postgres RDS for building retrieval systems, agent memory stores, and structured context-management layers.
The engineer must demonstrate strong foundational engineering skills in Python or Typescript, IaC (Terraform), DevOps pipelines, and secure distributed system design using GCP services such as Vertex AI, Cloud Run, Cloud Storage, and AlloyDB.
The role additionally requires deep, hands-on experience building and extending agent harnesses-the runtime scaffolding that orchestrates the agent execution loop, tool invocation, dynamic context-window assembly, sub-agent delegation, and guardrail and permission enforcement-together with production expertise in LangChain and LangGraph.
Fluency in spec-driven, agentic development frameworks such as GitHub Spec-Kit, OpenSpec, and BMAD-METHOD, used to translate intent into executable specifications and orchestrate AI-assisted delivery at enterprise scale.
Responsibilities
AI/Agentic System Architecture & Development
  • Design and implement Agentic AI solutions using Google ADK, LangGraph, LangChain, and Agent Engine.
  • Build and extend agent harnesses, implementing the agent execution loop, tool-call orchestration, dynamic prompt and context assembly, sub-agent delegation, streaming, token-budget management, and hook and guardrail enforcement.
  • Engineer advanced LangChain and LangGraph orchestration, including LCEL chains, stateful graphs, checkpointing, human-in-the-loop workflows, memory, retrievers, callbacks, and LangSmith tracing and evaluation.
  • Build advanced RAG and GraphRAG pipelines, vector retrieval systems, and knowledge-graph-augmented reasoning.

Implement MCP-compliant agents with capability registration, secure tool invocation, memory storage, and session state management.
  • Apply deep knowledge of Agentic Protocol design (ADK & MCP), such as:
    • Agent memory and conversation state
    • Tool authorization
    • Multi-step workflows and orchestration
    • Session boundary and identity controls
  • Leverage AlloyDB and PostgreSQL/RDS for:
    • Vector storage and hybrid search
    • Agent memory persistence, session management, and state recovery
    • Structured prompt scaffolding and fact retrieval
    • ACID-compliant transactional reasoning layers
  • Develop scalable AI microservices using Python/Typescript, Cloud Run, Vertex AI, and event-driven components.
  • Optimize model inference, retrieval latency, and overall system performance.

Spec-Driven & Agentic Development
  • Drive spec-driven development (SDD) using frameworks such as GitHub Spec-Kit, OpenSpec, and BMAD-METHOD, translating product intent into executable specifications, plans, and agent-ready task breakdowns.
  • Establish specification-first review gates and living change proposals that align human engineers and AI agents before implementation begins.

Security, Governance & Session Management
  • Implement enterprise-grade security for agents including:
    • OAuth and SSO flows
    • IAM roles, service accounts, least-privilege design
    • Secure MCP tool access, command permissioning, and input validation
  • Architect safe session-based AI interactions with proper expiration, auditing, and context isolation.
  • Ensure compliance with enterprise governance, Responsible AI requirements, and platform guardrails.

Platform Engineering, IaC & DevOps
  • Use Terraform to build GCP infrastructure for AI workloads, vector stores, knowledge graphs, and orchestration services.
  • Build CI/CD pipelines for model deployments and agent lifecycle automation.
  • Implement observability, monitoring, and logging for AI service health.

Innovation & Collaboration
  • Evaluate emerging tools and frameworks-including Claude Code, GitHub Copilot, AWS Kiro, GitHub Spec-Kit, OpenSpec, and BMAD-METHOD-and integrate them into engineering workflows.
  • Partner with architects, data engineers, and platform teams to implement cross-domain AI capabilities.
  • Document architecture patterns, reusable code modules, and standards for MCP/Agentic development.

Qualifications
Experience
  • 6-8 years in software engineering, including 2+ years in GenAI, multi-agent, or LLM systems.
  • Proven delivery of at least one production-grade AI or Agentic system, preferably involving RAG or GraphRAG.

Technical Expertise
Core Engineering
  • Strong engineering fundamentals in Python and/or Typescript.

Agentic AI & Protocols
  • Deep, practical experience with:
    • MCP (Model Context Protocol) - tools, capabilities, memory, session orchestration, security
    • Google ADK Agentic Protocols - agents, workflows, context management
    • LangChain & LangGraph - LCEL chains, agents, tools, memory, retrievers, stateful graph orchestration, checkpointing, human-in-the-loop control, and LangSmith tracing and evaluation
    • Agent harness engineering - agent execution loops, tool-call orchestration, context and prompt assembly, sub-agent delegation, streaming, token-budget management, and hook and guardrail enforcement

Spec-Driven & Agentic Development Frameworks
  • Hands-on experience with spec-driven development (SDD) workflows and tooling, including GitHub Spec-Kit (specify, plan, tasks, implement), OpenSpec (change proposals and living specifications), and BMAD-METHOD (agentic planning with specialized agent roles)
  • Proven ability to decompose product intent into executable specifications, structured plans, and agent-ready task breakdowns that align human and AI contributors before code is written
  • Familiarity with greenfield and brownfield delivery driven by multi-agent planning, context engineering, and specification-first review gates

Databases & Agent Memory Stores
  • Hands-on experience with AlloyDB, including:
    • Vector indexing / pgvector
    • AI inference acceleration and Vertex AI integration
    • Building agent memory and retrieval layers
    • Transactional context management for Agentic systems
  • Strong PostgreSQL/Postgres RDS fundamentals, including:
    • Schema design for knowledge retrieval
    • Query optimization
    • Hybrid search patterns
    • Durable storage for AI session and memory state

Cloud & Platform Skills
  • Experience with:
    • Vertex AI (Model Garden, Embeddings, Vector Search, Generative AI APIs)
    • GCP Cloud Run, AlloyDB, Cloud Storage, Secret Manager
    • Terraform / IaC
    • CI/CD automation, containerization, environment provisioning
    • OAuth, SSO, IAM roles/policies, service account management

Additional
  • Experience with AI coding tools (Claude Code, GitHub Copilot, AWS Kiro).
  • Strong understanding of LLM safety, governance, context window management, and prompt engineering.

Preferred Certifications
  • GCP Professional Cloud Architect
  • GCP Professional Machine Learning Engineer

Education
  • Bachelor's or Master's in Computer Science, Engineering, or related field.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$127,600 - $191,400
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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