Python Developer

TEKsystems•Philadelphia, PA

2d•$70 - $75•Hybrid

About The Position

This is a Software Engineering role within a Cloud Security Engineering team. The team focuses on building detection tools to enrich security findings. The work involves building a new detector and pipeline for cybersecurity. Candidates should be strong engineers with experience in Python and cloud platforms, primarily AWS. Experience with FastAPI, CI/CD tools, and Terraform is expected. While cybersecurity experience is a plus, it is not a requirement as this is a software engineering position that can be learned on the job. The role emphasizes using AI coding agents to enhance development output and requires strong problem-solving skills and the ability to articulate solutions.

Requirements

4+ years of professional software engineering experience
Strong proficiency in Python 3.10+
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
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
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
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
Open to onsite final round interview in PA
W2 only
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
Must have coding experience and able to problem solve on the fly

Nice To Haves

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
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
ML Data Science experience – any experience building ML pipelines
Any database experience would be good
Strong software eng skills is needed with some experience in Machine Learning

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.
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.