Python Engineer Jobs
Python Engineer jobs are open across fintech, healthtech, enterprise software, and data platforms, from new-grad to principal and staff engineer, with specializations in backend systems, data pipelines, and machine learning infrastructure. Find a role that fits from the openings below and apply directly.
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Job role: Java/Python - Eng II (W2 role)
Location: Phoenix, AZ (Day-1 Onsite)
Job description:
Skills: Java; API; Python; Kafka; NoSQL; RDBMS; Spring Boot; Vert.X; GCP; CI/CD; Maven; Jenkins; AI
Must have: Java, Microservices, Kafka, GCP Service Offerings, Release Management (Maven/Git)
Nice to have: Genesys, Python
Responsibilities:
- Provide thought leadership, engineering expertise and direction to the engineering teams; be versatile and be able to collaborate with business stakeholders, product teams and cross functional technology groups to drive continuous delivery.
- Drive user story analysis and elaboration, design and develop software applications, and test and build automation tools.
- Own all technical aspects of software development (architecture, design, and development of systems) for assigned applications.
- Perform hands-on software development, writing code, API specs, doing proof of concepts, conducting code reviews, and testing in ongoing sprints.
- Drive consistent development practices - tools and common components.
- Develop deep understanding of tie-ins with other systems and platforms within the supported domains.
- Work with technical product managers contributing to blueprints and assisting with annual planning of feature sets.
- Identify opportunities for adopting new technology to solve existing needs and predicting future challenges.
- Effectively communicate to internal and external business partners on solution design.
Functional Skills:
- Strong analytical & strategic thinking skills
- Ability to interpret technical/business objectives and challenges.
- Porting/Software Configuration
- Agile Methodologies
- Software development/testing
- Object oriented analysis and design across multiple platforms.
- Designing High Availability applications
Minimum Qualifications:
- Bachelor’s Degree in Computer Science, Computer Science Engineering, or related field required; advanced degree is preferred.
Preferred Qualifications:
- 8+ years of commercial software development experience
- Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Java and Python
- Hands-on experience with Spring Boot, Micro-services, Kafka, Relational and/or NoSQL databases.
- Experience in developing, hosting solutions on Google Cloud Platform - Google Cloud Storage, Big Query and Vertex AI and leveraging GCP services for specific feature implementations.
- Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline.
- Experience with automated release management using Maven, Salt, Git, Jenkins.
- Experience in Architecture design and modeling; should possess strong skills in designing and modeling complex systems and architectures.
- Good understanding of web technologies (HTTP, Apache) and familiarity with Unix/Linux.
- Good understanding of data structures, algorithms, and design patterns.
- Experience on Python would be a plus.
- Great written communication and documentation abilities.
- Looks proactively beyond the obvious for continuous improvement opportunities.
- Knowledge & experience of Contact Center ecosystem/Genesys Framework and Architecture; familiarity with the Genesys ecosystem would be preferable.
- Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
- Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.
Secondary Skills:
- Experience building and integrating AI/ML solutions into production systems.
- Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch.
- Hands-on experience with Generative AI technologies (e.g., LLMs), prompt engineering, and AI-powered application development.
- Experience leveraging platforms such as Vertex AI for model development, deployment, and monitoring.
- Awareness of responsible AI practices, including model governance, bias mitigation, and explainability.
Shailendra Rajak
Raas Infotek Corporation
262 Chapman Road, Suite 105A, Newark, DE-19702
Phone no. 302-565-0220, Ext. 145
Email id: shailendra.rajak@raasinfotek.com
LinkedIn: linkedin.com/in/shailendra-r-9904ba27b
See All 165+ Python Engineer Jobs
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Find Python Engineer JobsPython Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Citi16

- Tata Consultancy Services (TCS)15

- Infosys9

- Matlen Silver8

- Synechron7

Top Industries Hiring
- Technology & Software107
- Consulting & Professional Services26
- Banking & Financial Services16
- Investment & Asset Management12
- Staffing & Recruiting9
What Employers Look For
The qualifications that appear most often in python engineer jobs.
- Proficiency in Python with production-level experience in at least one major framework such as Django or FastAPI
- Experience designing and maintaining RESTful APIs or microservices architectures
- Familiarity with relational databases such as PostgreSQL and query optimization
- Proficiency with version control using Git and collaborative workflows in a team environment
- Experience writing unit and integration tests and working within CI/CD pipelines
- Bachelor's degree in computer science, software engineering, or a related technical field
Tips for Your Python Engineer Job Search
Tailor your resume to each stack
Listing Python alone won't cut it. Call out the specific frameworks and tools you've used, whether that's FastAPI, Django, Celery, or Pandas, and match them to the exact stack named in each job description. Recruiters scan for these terms directly.
Show system design decisions in projects
Python engineer interviewers want to know why you structured something the way you did, not just that it worked. For each project on your resume, add one line explaining a tradeoff you made, such as choosing async over threading or SQLAlchemy over raw queries.
Filter openings by domain before you apply
Python engineer roles in fintech have very different day-to-day work than those in ML infrastructure or web platforms. Targeting roles in a domain where you already have context, even from side projects, makes your cover note stronger and your interview answers more concrete.
Apply early to roles that fit
Migrate Mate lists python engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a take-home code review answer
Many python engineer pipelines include a take-home or live code review where you critique existing code. Practice reading unfamiliar Python codebases and articulating issues with clarity, covering readability, performance, and testability, not just correctness.
Negotiate after the technical, not the screen
The strongest moment to negotiate a python engineer offer is after you've passed the technical rounds, when the company has already invested in evaluating you. Have a specific ask ready, grounded in scope and responsibility level, not just compensation benchmarks.
Python Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most python engineers?
The companies hiring the most python engineers right now include Citi, Tata Consultancy Services (TCS), and Infosys, with the largest share of openings in Texas, New York, and New Jersey, based on current listings on Migrate Mate as of June 2026. Demand is consistently strongest at companies building data-intensive products, cloud platforms, and developer tooling.
How many python engineer jobs are remote?
About 21% of python engineer openings are fully remote or hybrid as of June 2026, making it one of the more remote-accessible engineering roles. Backend API development and data pipeline work tend to be the most remote-friendly sub-areas, while roles tied to embedded systems or on-site infrastructure are more likely to require in-office presence.
How do you become a python engineer?
You become a python engineer by building a foundation in Python fundamentals, then moving into applied work with frameworks like FastAPI or Django, database integration, and testing practices. Contributing to open-source projects, building portfolio projects that solve real problems, and completing a technical role in any capacity, including internships or contract work, accelerates the path to a full-time position.
Can you get a python engineer job with little or no experience?
You can get a python engineer job with limited experience by focusing on entry-level or junior roles at companies that explicitly list mentorship or structured onboarding in their postings. Building two or three portfolio projects that demonstrate API design, database interaction, and testing, and being able to walk through your code decisions clearly in an interview, matters more than years of experience at this level.
What does the python engineer interview process look like?
The python engineer interview process typically starts with a recruiter or hiring manager screen, followed by a technical phone screen covering Python-specific questions on data structures, OOP, and language quirks. That leads to a coding assessment or take-home project, then a system design round for mid-to-senior roles, and a final loop with the engineering team covering code review, past projects, and cross-functional collaboration.
Where can I find and apply to python engineer jobs?
You can find and apply to python engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing from the page.
See All 165+ Python Engineer Jobs
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