Collaborative Filtering Algorithm Python Jobs in Usa
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- Python & Risk to join their team in Charlotte, NC.
Compensation: $150-225k Responsibilities: Demonstrate a command of breaking market trends, competitive positioning, client priorities and business opportunities through consistent delivery of cost controlling and business enabling solutions.
Apply extensive business knowledge to inform critical decisions on strategic initiatives, future projects, long-term planning, etc.
Optimize technology outcomes for the company while maintaining strong operational and cyber risk controls.
Engage strong communication skills in public speaking engagements, client / internal presentations, press appearances and internal town halls to convey clear and consistent messaging on company's strategic technology direction and performance.
Foster confidence and buy-in among various stakeholder groups.
Leverage leadership skills to motivate employees throughout the technology organization.
Articulate a clear vision to encourage buy-in among stakeholder groups.
Continuously seek out feedback and refine approach accordingly.
Draw on external network of competitive counterparts and other market participants to benchmark the company among peers and identify new strategic opportunities.
Qualifications: 15+ years of professional experience at large banks with a focus on Risk Technology.
Experience leading team(s) and owning multiple deliveries at the same time.
Strong expertise in Python is mandatory, with optional experience in Azure cloud computing.
Familiarity with risk metrics such as VaR, sVar, stress testing, Counterparty Credit Risk, Credit quality indicators, credit sentiment analysis and sensitivity analysis.
Experience working with market data sources, financial instruments, and trading systems.
Exposure to any frontend Javascript technologies is required.
Experience in Databricks and AI/ML technologies is highly desirable Knowledge of database systems (e.g., SQL, NoSQL) and distributed computing frameworks.
Excellent communication and people skills, with the ability to collaborate effectively with stakeholders at all levels.
Ability to work independently and manage multiple priorities in a demanding environment.
Advanced sense of accountability and follow-through with an ability to effectively prioritize multiple tasks, projects, and goals.
Ability to understand complex and highly technical concepts, and ability to easily explain/translate them to peers.
Knowledge of project management frameworks including Waterfall and Agile and tools such as JIRA and MS Project.
Ability to prioritize work by setting and meeting realistic deadlines, forecasting, and communicating changes resulting from risks and issues, while ensuring an elevated level of fiscal control and accountability for project budget and resources.
Strong relationship management, collaboration and influencing skills.
Ability to successfully engage in multiple initiatives simultaneously while interacting professionally with executives, managers, and subject matter experts.
Knowledge of financial operations and planning, controls management, MIS, data management and reporting processes related to commercial investment banks.
BA/BS degree required.
Excellent verbal and written communication skills.
Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG
TIME Lead Platform Engineer with Python Programming & AWS Cloud - HYBRID ONSITE
Location Flexibility: This role is based 4 days per week in either Boston MA or Needham MA, with occasional travel between offices as needed.
Candidates requiring visa sponsorship are welcome to apply!
FROM THE HIRING MANAGER - for our Platform Engineering team what we’re looking for are people who have experience building technology to be used by other development teams (not business users).
THE POSITION We are currently seeking qualified candidates for a Lead Software Engineer position for our Platform Engineering team which is responsible for designing and building tools and workflows for our internal software engineering teams. These systems will allow them to build and deploy applications effortlessly, allowing them to focus on building business functionality for their users. Your work will directly support enterprise-wide initiatives, helping teams across the organization streamline operations, improve reliability, and accelerate delivery. This role is ideal for someone who enjoys solving complex technical problems and collaborating with other engineers to create highimpact internal platforms. The ideal candidate should have experience enabling IT organizations to work more efficiently, standardize best practices, and reduce friction across the development lifecycle. This includes creating reusable components, automation frameworks, and platform capabilities that empower our engineering teams.
KEYS TO THE POSITION
- 10+ years of experience in software engineering
- Proficient in Python with experience building tools using widely adopted libraries such as Pandas, NumPy, Requests, BeautifulSoup, FastAPI, and SQLAlchemy
- Skilled in packaging, testing, and deploying Python applications using tools like pytest, setuptools, and Docker
- Hands-on experience designing, deploying, and managing cloud-native applications using AWS services (e.g., EC2, Lambda, S3, RDS, CloudFormation), with a strong grasp of scalable and secure architecture principles.
- Experience designing and operating DevOps platforms including CI/CD pipelines, infrastructure as code (e.g., Terraform, Jenkins), and container orchestration using ECS or EKS - Experience designing and operating monitoring, logging, and performance optimization tools (e.g., OpenSearch, Open Telemetry, CloudWatch, X-Ray)
- Excellent written and verbal communication
- Attention to detail, self-discipline, and passion to drive and innovate
- Must be comfortable with test-driven development, continuous integration, and agile development methodologies using tools like GIT, Artifactory, and Jenkins
- Experience working with offshore development teams is a plus
- Bachelor’s degree in computer science, engineering, math, or related field, or equivalent experience is preferred
Estimated Min Rate: $140,000.00
Estimated Max Rate: $165,000.00
What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:
- Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
- Health Savings Account (HSA) (for employees working 20+ hours per week)
- Life & Disability Insurance (for employees working 20+ hours per week)
- MetLife Voluntary Benefits
- Employee Assistance Program (EAP)
- 401K Retirement Savings Plan
- Direct Deposit & weekly epayroll
- Referral Bonus Programs
- Certification and training opportunities
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
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.
By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: working/work at home options are available for this role.
Must be local to TX
Role Overview
- He’s ideally looking for someone with 13+ years of experience, strong architecture depth, and the ability to clearly explain designs.
- Must have experience using AI is used in day‑to‑day development.
- Must have experience as a API Developer to lead the development and deployment of our backend services. In this role, you will be the bridge between our PostgreSQL database and React frontend, responsible not only for writing high-performance Python code but also for architecting the CI/CD pipelines that bring our applications to life. You will ensure our integration layers are scalable, secure, and automatically deployed.
Job Summary
We are seeking a Principal-level Full Stack Lead Developer with 13+ years of experience to drive high-priority engineering workstreams. This role is for a technical heavyweight who can lead new projects in parallel with existing leadership while maintaining exceptional architecture depth. You will be responsible for the full lifecycle of high-performance FastAPI and React applications, ensuring they are resilient, observable, and scalable. We expect a leader who views AI development tools as a force multiplier for velocity and can clearly articulate complex design decisions to stakeholders.
Key Responsibilities
- Project Sovereignty: Independently lead and deliver new, complex workstreams from inception to launch, acting as a technical peer to existing leadership (e.g., Sai).
- System Architecture: Design and defend distributed microservices and event-driven architectures. You must be able to clearly whiteboard and communicate design patterns to both technical and non-technical audiences.
- Hands-on Execution: Maintain high-velocity output of clean, production-grade code using FastAPI (Python) and React (TypeScript).
- Platform Reliability: Architect and implement global Error Handling frameworks, centralized Logging (e.g., OpenTelemetry, ELK), and API Management strategies including Rate Limiting and versioning.
- Event-Driven Messaging: Oversee the implementation of asynchronous service communication using ActiveMQ or AWS EventBridge.
- AI-Augmented SDLC: Deeply integrate AI coding tools (e.g., CloudCode, Cursor, GitHub Copilot) into daily workflows to accelerate prototyping, refactoring, and automated testing.
- Engineering Mentorship: Foster a culture of excellence through rigorous code reviews and by unblocking senior engineers on complex technical hurdles.
- Product Collaboration: Work closely with Product Managers to turn high-level roadmaps into technical reality, providing accurate estimates and identifying technical risks early.
Required Skills & Qualifications
- Experience:13+ years of professional software development with a proven track record of leading large-scale products.
- Tech Stack Mastery: Expert-level FastAPI (Async Python) and modern React (Hooks, TypeScript, Performance Profiling).
- Advanced Governance: Hands-on experience with API Gateway patterns, request throttling, and securing distributed systems (OAuth2/JWT).
- Observability & Messaging: Deep knowledge of structured logging, distributed tracing, and message brokers (ActiveMQ or EventBridge).
- AI Tooling: Advanced proficiency in using AI tools for Fast Development to reduce manual overhead and multiply team output.
- Database & Infrastructure: Expert-level PostgreSQL (tuning/indexing), Redis (for caching/rate-limiting), and container orchestration (Kubernetes/Docker).
- Communication: Exceptional ability to translate technical "scars" and architectural risks into clear business impact.
Job Title: Embedded Validation Engineer
Location: Charlotte, NC
Job Type: Full-Time
Role Overview
We are seeking a technically strong Embedded Validation Engineer to serve as the Controls and Quality Assurance (QA) point of contact for lab validation and sustaining programs. The role focuses on requirements-based validation, disciplined test execution, defect reporting, and traceability across multiple product programs.
The ideal candidate will work closely with Systems Engineering, Product Development, and QA teams to validate embedded control systems, execute lab testing, and improve test automation and validation processes.
Key Responsibilities
Requirements-Based Validation
- Collaborate with Systems Engineering teams to derive validation strategies and test plans from system requirements.
- Develop and maintain requirement-to-test case traceability.
- Ensure validation activities align with product specifications and engineering requirements.
Lab Test Execution
- Serve as the Controls Validation Point of Contact (POC) for lab validation activities.
- Execute validation tests on prototype hardware and embedded control systems.
- Document test procedures and record pass/fail outcomes with technical accuracy.
Documentation & Traceability
- Maintain organized test documentation including test plans, execution logs, and validation reports.
- Ensure traceability between requirements, test cases, and defect reports.
Defect Reporting & Tracking
- Identify, document, and report defects with clear technical descriptions and reproducible steps.
- Collaborate with development teams to analyze root causes and track defect resolution.
Reporting & Quality Reviews
- Prepare concise 2–3 slide technical summaries of test results and validation findings.
- Present validation updates during PRQRB/SQA or departmental review meetings.
Test Bench & HIL Development
- Design and build test bench setups and Hardware-in-the-Loop (HIL) simulators for validation.
- Support legacy platforms and existing validation environments.
Automation Development
- Contribute to Python-based test automation and validation frameworks.
- Identify opportunities to improve test efficiency through automation.
Product Support & Continuous Improvement
- Support new product development, sustaining engineering, and validation process improvements.
- Drive enhancements in test infrastructure, lab workflows, and validation methodologies.
Required Qualifications
- Bachelor’s degree in Controls Engineering, Software Engineering, Electrical Engineering, or related field.
- 5+ years of experience in embedded systems validation, SQA, or controls testing.
- Strong understanding of Software Quality Assurance (SQA) fundamentals, including test execution and documentation.
- Experience validating embedded control systems and equipment controls.
- Hands-on experience with lab-based validation and prototype testing.
- Knowledge of controls inputs/outputs, sensors, and system interfaces.
- Experience with bench wiring, test setup, and instrumentation.
- Strong analytical skills and familiarity with engineering basics such as heat exchangers and unit conversions.
- Experience with Python scripting and test automation.
Join the team leading the next evolution of virtual care.
At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.
Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.
Summary of Position
As a Staff Software Engineer, you are a senior individual contributor who leads the design and delivery of significant platform features and raises the bar for engineering quality across the team. You'll work handson in code-designing APIs and data flows, building services in Python/FastAPI and React frontends, and guiding solutions from idea to production. You'll mentor engineers, influence architecture and standards within and adjacent to your team, and partner closely with product and design to achieve clear, measurable outcomes. This role blends deep implementation work with pragmatic technical leadership by example.
Essential Duties and Responsibilities
Lead technical design for platform features and services, breaking ambiguous requirements into clear, incremental designs and stories for your team and adjacent partners.
Implement backend services in Python/FastAPI and React frontends end-to-end, owning a continuous stream of stories from idea to production.
Define and use clear API contracts and data flows between services and UIs, creating patterns and templates others can follow.
Champion high-quality engineering practices, including code reviews, documentation, and maintainable, testable designs.
Develop and improve automated testing (unit, integration, endtoend) and integrate these into everyday development and CI.
Improve CI/CD pipelines and release workflows for your team so the team can ship small, safe changes frequently and confidently.
Own the operational lifecycle of the features and services you build, including monitoring, observability, on-call participation, and incident follow-up.
Design and implement secure-by-default solutions, including robust authentication/authorization, input validation, and safe handling of sensitive data.
Identify and address reliability and performance risks early, proposing concrete technical improvements and sequencing them into the roadmap.
Mentor and unblock engineers through pairing, design discussions, and clear feedback; influence without formal authority.
Partners with product/design to shape requirements into incremental deliverables; escalates tradeoff decisions; proposes sequencing that optimizes value/risk.
The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs.
Supervisory Responsibilities
No
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related field; equivalent work experience is acceptable.
7+ years of experience in software engineering.
Strong proficiency with Python and modern web backends (FastAPI, Flask, Django, or similar) and solid understanding of HTTP, API design, and data modeling.
Significant experience with React (or a comparable SPA framework) and building production frontends that talk to backend APIs.
Demonstrated ability to own features end-to-end in a small team: from shaping requirements through design, implementation, testing, deployment, and support.
Experience designing and working with distributed systems or multi-service architectures (e.g., service boundaries, async jobs, integration patterns).
Solid understanding of observability and operations for production systems (metrics, logs, traces, dashboards, alerting, incident response).
Strong understanding of security fundamentals (authentication, authorization, secure data handling) and how they apply to web services and UIs.
Deep familiarity with automated testing and CI/CD, and a track record of improving engineering workflows and quality.
Excellent communication and collaboration skills; comfortable working closely with product, design, and other stakeholders.
Proven ability to provide technical leadership in a hands-on way: unblocking others, making clear decisions, and raising the bar through code and reviews.
Bonus Qualifications
Experience in early-stage or small platform teams where engineers wear multiple hats and balance shipping with building foundations.
Experience with Azure and containerized deployments (or similar cloud-native environments).
Experience building platforms (developer platforms, data platforms, or similar) that serve multiple product teams.
Exposure to AI/ML or data-intensive applications (e.g., integrating with model inference APIs, data pipelines, or analytical data stores).
The base salary range for this position is$180,000 - $200,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.
#LI-SS2 #LI-Remote
We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.
As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.
Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
Why join Teladoc Health?
Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.
Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.
Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.
Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.
Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.
Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.
Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA
Title: Machine Learning Engineer
Location: San Jose, CA
Responsibilities:
- Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
- Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
- Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
- Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
- Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
- Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
- Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.
Educational Qualifications:
- Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
- Strong systems/ML engineering with exposure to distributed training and inference optimization.
Industry Experience:
- 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
- Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
- Experience collaborating across Research, Platform/Infra, Data, and Product functions.
Technical Skills:
- Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
- Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
- Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
- Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
- Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
- Write performant, maintainable code
- Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA
Remote working/work at home options are available for this role.
Job Title: Senior Software Engineer
Reports To: Manager of Application Development
About the Role:
The Senior Software Engineer is a hands-on technical leadership position responsible for designing, building, and maintaining high-quality software solutions. This role emphasizes both individual development work and ownership of design decisions for features and subsystems. Modern tools, including AI-assisted development and architectural support, are leveraged to drive delivery while maintaining accountability for technical outcomes.
Responsibilities:
- Design, implement, test, and maintain scalable, secure, and reliable applications and services.
- Act as a senior technical contributor, with responsibility for the design and implementation of features and subsystems.
- Contribute actively to development tasks, applying advanced coding expertise in several programming languages and frameworks.
- Participate in architectural discussions and support incremental evolution of systems with team leads.
- Conduct code reviews and mentor engineering team members, fostering best practices and ongoing improvement.
- Translate requirements from product owners, business analysts, and stakeholders into technical solutions.
- Identify and mitigate technical risks in assigned systems and projects.
- Support and enhance cloud-based applications (Azure, AWS) with emphasis on performance, reliability, and scalability.
- Collaborate effectively with onshore and offshore teams to ensure successful project execution.
- Keep abreast of industry trends and new technologies to encourage innovation.
- Utilize AI-assisted tools to expedite design, documentation, and implementation, while ensuring technical quality.
- Lead and support AI-related initiatives, drawing on prior experience with AI/ML technologies; recommend and implement suitable AI tools and frameworks.
- Test and demonstrate emerging AI tools and platforms via proofs of concept (POCs) to highlight business value.
- Guide customers in leveraging AI to optimize business processes; support teams working on business-facing AI efforts.
- Collaborate with stakeholders to contribute to defining an AI roadmap aligned with organizational strategy and technology objectives.
Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
- A minimum of 5 years in a Senior Software Engineer, Lead Developer, or similar role, with proven success delivering production systems.
Required Skills:
- Strong understanding of software development methodologies (e.g., Agile, DevOps) and architectural frameworks.
- Proficient in programming languages such as C#, Python; excellent problem-solving and critical thinking skills.
- Web Development: Experience with modern front-end frameworks (e.g., React, Vue.js).
- Mobile Development: Knowledge of mobile app development tools (e.g., Cordova, Ionic).
- Cloud Development: Experience managing cloud-hosted applications, including Azure Functions and Event Hubs.
- Database Management: Ability to develop and debug stored procedures, views, and tables in SQL Server and MySQL; basic database administration for data integrity and security.
- API Development: Skilled at designing, building, and debugging APIs; experience with RESTful APIs and tools like POSTMAN and SOAPUI.
- DevOps: Designing branching strategies; implementing and maintaining CI/CD pipelines for test automation and deployment.
- Containerization: Experience with Docker and Kubernetes for application development and deployment.
- Security: Understanding of secure coding and application security best practices.
Preferred Skills:
- Ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Effective teamwork, working with cross-functional groups including developers, project managers, and analysts.
- Strong problem-solving abilities and the capacity to make effective decisions under constraints.
- Leadership through mentoring and influencing technical direction.
- Adaptability to new technologies and changing environments.
- Critical thinking in evaluating options and making informed decisions.
- Effective time management across multiple projects.
- Empathy for team and stakeholder perspectives to foster collaboration.
Job Role: Lead Software Engineer - AI Application Platform
Location: Charlotte, NC (Onsite)
Eligibility: USC/GC/H4-EAD only
Pay Rate: $90/hr. on W2
The Opportunity
We are seeking a Lead Software Engineer to guide the architectural development and execution of AppGen, a sophisticated AI-powered application generation platform. This role suits a proven technical leader with deep, hands-on expertise across the full software stack who finds enabling a team to build better software deeply satisfying.
You will shape critical systems, mentor senior and junior developers through complex technical decisions, conduct rigorous code reviews across multiple technology domains, and directly influence the platform's trajectory through strategic engineering leadership.
This is for someone who:
• Engages thoughtfully when a junior developer asks targeted architectural questions—because you see an opportunity to shape how someone thinks about systems
• Takes time to explain subtle type-safety issues in code review, understanding that feedback is a teaching moment
• Can present architecture clearly to executives and confidently explain both what we're building and why it matters
• Finds more energy in the code your team ships than in the code you write individually
• Has proven depth across the full stack and a track record of developing engineers into stronger contributors
If that describes you, we'd like to talk.
Core Responsibilities
1. Technical Architecture & Systems Thinking (40%)
• Shape architectural decisions across the full stack: How should the component layer handle dynamically generated forms? What's the right approach to validate complex cross-field dependencies in the FormBuilder? What separation of concerns makes sense between the Generator Lambda and the Parent Backend?
• Guide architecture discussions: Help senior developers think through design trade-offs. Should we use NgRx or Angular signals for this feature? When does a new Lambda function become worthwhile given cold-start costs?
• Identify and address system-wide bottlenecks: Work across layers to improve performance. Explore Lambda cold-start optimization, RDS query efficiency, and DynamoDB access patterns.
• Establish patterns and guide consistency: Define coding conventions that work across Python, TypeScript, and Terraform. Help new team members understand the reasoning behind architectural choices.
What this looks like in practice: You're able to justify architectural decisions with technical reasoning. When someone questions an approach, you can explain the trade-offs you considered. You can write code in multiple languages to validate an approach if needed.
2. Code Review & Technical Guidance (30%)
• Full-stack PR reviews: Review Python FastAPI endpoints and Angular components with equal depth, understanding how they interact.
• Deep technical review: Catch issues thoughtful code review can surface:
o RxJS Observable lifecycle and potential memory patterns in Angular
o Query efficiency and data loading patterns in SQLAlchemy
o Terraform module organization and state management implications
o Type safety and TypeScript coverage gaps
o AWS security and IAM configurations
• Educational feedback: Your code reviews help the team learn. When you identify an issue, reviewees understand not just what changed, but how to think about similar problems in the future.
• Define quality expectations: Work with the team to establish what \"production-ready\" means for this platform and support consistent application of those standards.
What this requires: Experience reviewing code across teams and multiple languages. You know how to write feedback that resonates—clear, constructive, and focused on helping people improve.
3. Mentorship & Team Development (20%)
• Expand specialist capabilities: Help backend specialists learn to contribute to the forms-engine. Support frontend experts in understanding FastAPI patterns.
• Accelerate junior developers: Pair on complex problems. Explain the reasoning behind patterns like DataState. Connect architectural choices to implementation details and performance implications.
• Identify and address gaps: Recognize when someone is struggling with a technology and provide targeted support—training, pair programming, or guidance through architectural decisions.
• Create growth opportunities: Stretch the team into new areas. A backend engineer working on their first Terraform contribution. A frontend specialist implementing an AWS Lambda authorizer.
What this requires: Genuine investment in people's growth. You've walked developers through major transitions (generalist to specialist, specialist to full-stack, or into new technology areas). You understand that team strength grows when individuals expand their capabilities.
4. Stakeholder Communication & Technical Leadership (10%)
• Explain to diverse audiences: Translate architectural choices and trade-offs for product managers, executives, and business stakeholders. Connect \"optimizing DynamoDB queries\" to \"improving form submission latency by 30%.\"
• Shape technical direction: Contribute the engineering perspective on feasibility, risk, and what unlocks future capabilities.
• Support release confidence: You understand the code changes, comprehend the risks, and know what to monitor. You can stand behind releases.
Required Qualifications
Technical Skills
Frontend (Production Experience)
• 5+ years of Angular (including handling version migrations, optimizing change detection, and guiding teams through reactive patterns)
• Strong TypeScript skills with generics, discriminated unions, and strict mode
• RxJS depth: You understand hot vs. cold observables, unsubscription patterns, and can identify potential memory issues in reviews
• NgRx state management: You've designed stores at scale, optimized selectors, and evaluated architectural implications
• CSS Grid & Responsive Design: You can assess component hierarchy and layout decisions
• Material Design: You've worked within it and know when and how to extend it
Backend (Production Experience)
• 5+ years of Python (async/await, type hints, data modeling)
• FastAPI production experience: session management, dependency injection, middleware
• SQL and ORMs (SQLAlchemy): You write efficient queries and review them critically
• AWS services: Understanding of Lambda behavior, IAM least-privilege patterns, VPC networking
• REST API design: Versioning, error handling, idempotency
• Testing frameworks: pytest, testing st
Qualifications Required A Bachelor's Degree; Graduate Degree preferred At least 3 years of experience with Python Linux / Unix environment experience Experience with PostgreSQL, or other relational databases Able to quickly understand and discuss requirements from Portfolio Managers Preferred Previous experience in low-latency trading environments Familiar with quantitative finance and electronic trading concepts and financial data Equities, futures, FX, or other financial instruments knowledge Experience with containerization and orchestration technologies Experience building and deploying systems that utilize services provided by AWS, GCP or Azure Experience with other programming languages, such as C/C++, Java, Scala, Go, or C# Apache, Confluent Kafka experience Experience automating SDLC pipelines
Title: Python with AI(Only w2)
Location: Atlanta GA(Onsite/Only Locals)
Must have mins 10-12 years of overall years of experience
Must haves.
- Strong Python programming (OOP, typing, async programming).
- Experience with API development (FastAPI or Flask).
- PY-test framework knowledge for unit testing.
- Git hub branching familiarity
- Framework development experience with PyTorch, TensorFlow, Hugging Face Transformers, LangChain, OpenAI API
- Basic Cloud knowledge like server less compute, http traffic, CICD concepts
Nice to Have:
- Deep Learning: Neural networks, CNNs, RNNs, transformers, attention mechanisms.
- Azure: resource groups, container apps, vnet, logging, cosmos db.
- SQL (Query writing) experience like SQL server/Azure SQL/Oracle/PostgreSQL
- API security with AuthN/AuthZ understanding of OpenID or oAuth2 flows
If I missed your call ! Please drop me a mail.
Thank you,
Harish
Talent Acquisition
Astir IT Solutions, Inc - An E-Verified Company
Email:
Direct : 7326946000*788
50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080
