Python Developer

**CANDIDATE MUST BE OPEN TO ONSITE FINAL ROUND INTERVIEW IN PA - this is required**

*W2 only - unable to utilize C2C resources*

Top Skills:

PYTHON Developer that will work in Cloud Security Engineering team.

We work on building detection tools to enrich security findings for cybersecurity - you do NOT need the cybersecurity experience (although that is a plus) - this is a Software engineering role.

The work we are doing in 2026 is Building a new detector and pipeline for cybersecurity

Need a Strong engineer

5-8+ years experience

SW Engineering with some Cloud expertise in AWS primarily

Understanding of how Cloud platforms work and operate

PYTHON

Terraform

CI/CD tools and processes

Any experience with FastAPI is a plus

Emerging practices for managing AI development tools is a plus

Some cybersecurity experience with Authentication and Authorization is helpful .. iy is a plus

Description:

Must Have

Core Engineering

• 4+ years of professional software engineering experience

• Strong proficiency in Python 3.10+; you write idiomatic, well-structured Python by hand

• Deep experience with FastAPI or equivalent async web frameworks

• Solid understanding of relational databases (PostgreSQL preferred), ORM patterns (SQLAlchemy/SQLModel), and schema migration tools (Alembic)

• Experience with large-scale data management, including ingesting, normalizing, and persisting high-volume datasets with strong data integrity guarantees

• Understanding of long running process design, including retries, progress tracking, and graceful failure handling

• Working knowledge of concurrency and distributed execution, and Python trade-offs (asyncio, multiprocessing, task queues)

• Ability to design medium complexity systems with clear layering, API contracts, and sound trade-offs

AI Augmented Development

• Demonstrated experience using AI coding agents (GitHub Copilot, Cursor, Claude Code, Codex, or similar) beyond autocomplete

• Ability to craft structured prompts and instructions aligned with project architecture and conventions

• Strong critical evaluation skills to review and refine AI-generated code for security, correctness, and maintainability

• Comfort operating in an AI augmented development workflow

• Practical understanding of LLM strengths and limitations, knowing when to hand-code vs. delegate to agents

Cloud & Infrastructure

• 2+ years of experience with AWS, including ECS/Fargate, RDS, ElastiCache, S3, Secrets Manager, IAM, and CloudWatch

• Experience with Docker, including multi-stage builds

• Familiarity with Infrastructure as Code (Terraform preferred)

• Experience building and maintaining CI/CD pipelines (GitHub Actions preferred), including multi environment deployments and integrated security scanning

Engineering Fundamentals

• Strong ability to reason from first principles and decompose unfamiliar problems

• Experience breaking down high level requirements into estimable, well-scoped work

• Excellent written and verbal communication skills

• Familiarity with secure development practices, including input validation, error handling, and failure-mode analysis

• Experience with Git workflows, including feature branching, rebasing, and branch protection

• Experience working in Agile environments, including sprint planning, estimation, and JIRA

Nice to Have

• Experience with React/TypeScript

• Familiarity with cloud security domains (CSPM, threat detection, vulnerability management)

• Experience integrating with enterprise APIs (REST, GraphQL, OAuth2/OIDC)

• Experience with Snowflake, Databricks, or similar analytical platforms

• Familiarity with OpenSearch/Elasticsearch for log analysis and threat hunting

Core Responsibilities

• Build and operate security platforms: Design, implement, and maintain backend services and pipelines that ingest, normalize, and analyze cloud security data

• Write production-quality code: Deliver clean, tested, well-documented Python services using established architectural patterns

• Design medium complexity systems: Own data models, API contracts, orchestration logic, and integrations; iterate designs with team feedback

• Leverage AI agents for high output: Use AI coding tools daily, maintaining consistency via structured prompts and skill files

• Integrate external data sources: Build reliable integrations with REST, GraphQL, and cloud APIs using secure auth, pagination, and retries

• Build resilient data pipelines: Implement multi phase pipelines that handle scale, long runtimes, and partial failures gracefully

• Maintain infrastructure as code: Contribute to Terraform modules and CI/CD pipelines

• Write automated tests: Maintain strong unit, integration, and end to end test coverage

• Conduct thorough code reviews: Evaluate design intent, correctness, security, and long-term maintainability

• Collaborate with stakeholders: Work closely with security analysts, platform teams, and leadership

• Participate in support rotation: Monitor service health and respond to operational issues

• Research and prototype: Evaluate new tools and approaches through rapid prototyping

• Document and share knowledge: Maintain documentation, runbooks, and architectural decision records

Additional Expectations

• Exercise independent judgment and discretion on matters of significance

• Participate in training and knowledge transfer for internal software users

• Maintain regular, consistent, and punctual attendance

Skills

python, Terraform, CI/CD, AWS, Cloud Platforms, FastAPI

Additional Skills & Qualifications

Onsite 3 or 4 days

Interview

1st on TEAMS

Coding and systems design interview – 2nd round will be ONSITE – 2 hours

Notes from manager:

Emphasize that this is a software engineering coding team - they exist within Cybersecurity but candidates don't need to be an expert on security; this can be learned on the job

Nice to have -

ML Data Science experience – any experience building ML pipelines

This is primarily a Python role so wants to see development in Python instead of scripts

Candidates were having trouble with a coding screen - 25 minutes solving a problem; candidates using AI to answer questions; needs to be able to think about how to solve problems and talk through how to solve these problems

Any database experience would be good

Strong software eng skills is needed with some experience in Machine Learning

Must have coding experience and able to problem solve on the fly

This is an onsite role so the 2nd interview must be onsite also.

Fast API is primarily used on this team

This is a Contract to Hire position based out of Philadelphia, PA.

The pay range for this position is $70.00 - $75.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

This is a hybrid position in Philadelphia,PA.

This position is anticipated to close on Jun 1, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.