LTE Testing Engineer

We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with over 5 years of experience in Python, React, Cloud Services, and Generative AI (LLM, RAG, Agentic AI). The ideal candidate can handle multiple challenges independently, think smartly, and build scalable end-to-end applications while also owning architecture and deployment.

Must Have Skills

• Python (Fast API, Django REST Framework, Flask)
• React JS 
• Cloud Services (VM, Storage, Auth and Auth, Functions and Deployments) 
• Microservices , Serverless Architecture
• Docker, Container orchestration (Kubernetes)
• API Development & Integration
• Bitbucket or Git-based version control
• Agile/Kanban working model
• Familiarity with AI-powered coding assistants such as GitHub Copilot, Cursor AI, or Lovable AI.
• Basic understanding of Generative AI concepts and prompt engineering.

Good to Have Skills

• Experience with AI orchestration tools (Lang Chain, Llama Index, Semantic Kernel)
• Generative AI (LLMs, RAG Framework, Vector DB, AI Chatbots, Agentic AI)
• API Testing Tools (Postman)
• CI/CD Pipelines
• Advanced Cloud Networking & Security
• Automation Testing (Playwright, Selenium) 

Preferred Personal Attributes

• Highly proactive and self-driven
• Smart problem solver with strong analytical ability
• Ability to work independently in ambiguous and complex scenarios
• Strong communication & stakeholder management skills
• Ownership mindset and willingness to handle multiple challenges at once

Key Responsibilities

Full Stack Development

• Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React / Next.js.
• Develop reusable frontend components and optimized backend services/microservices.
• Ensure clean architecture, maintainability, and code quality.
• Own development across the lifecycle—design, build, testing, deployment.
• Develop AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc.).
• Build and optimize RAG pipelines, vector searches, embeddings, and agent workflows.
• Integrate vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search.
• Build AI chatbots, automation agents, and intelligent Assistants.
• Apply prompt engineering, fine-tuning, and model evaluation best practices.
• Deploy, manage, and monitor cloud workloads on AWS/Azure/GCP.
• Design and implement serverless architectures, microservices, event-driven flows.
• Use Docker, CI/CD, and best DevOps practices.
• Ensure scalability, security, cost optimization, and reliability.

Collaboration & Leadership

• Comfortably handle ambiguity, break down problems, and deliver with ownership.
• Lead technical initiatives and mentor junior team members.
• Work closely with cross-functional teams in Agile/Kanban environments.

Key Responsibilities

·      Design, build, and maintain efficient, reusable, and reliable Python automation scripts.

·      Consume, integrate, and manage external services using APIs (CRUD operations, JSON parsing).

·      Read, comprehend, and debug existing code to identify bottlenecks and fix bugs.

·      Interact with databases using SQL to extract and manipulate required data.

·      Maintain source code quality through Git version control and participate in code review workflows.

·      Clearly communicate logic, architectural choices, and technical roadblocks to the team.

Skill Requirements & Competencies

Non-Negotiable Skills

·      Aptitude & Logical Problem Solving: Exceptional ability to break down complex problems. The ability to explain the logic behind your code is strictly required.

·      Core Python Mastery: Deep understanding of decorators (e.g., writing execution time loggers), list/dictionary comprehensions, and advanced string operations. (would be good to know packages such as heapq or equivalent which aids problem solving using pre implemented data structures).

·      Concurrency & Parallelism: Practical experience with asyncio, multithreading, and multiprocessing, including knowing exactly when and why to use each.

·      APIs & Data Handling: Proven experience calling endpoints, parsing JSON data, and working with any standard API framework (e.g., FastAPI, Flask, Django REST).

·      SQL Database Skills: Intermediate ability to write SQL queries to fetch, filter, and manipulate data. NoSQL exposure is a good to have.

·      Code Comprehension & Debugging: Ability to jump into an existing codebase, understand its flow, and efficiently troubleshoot bugs.

·      Strong Communication: Must be able to articulate technical concepts, code, approach etc. clearly to both technical and non-technical stakeholders.

Intermediate Skills

·      Version Control (Git): Competent in creating/modifying repositories, branching, committing, pushing, and managing Pull Requests.

·      Command Line / Scripting: Intermediate proficiency in Bash/Shell scripting for environment navigation and basic OS-level automation.

CAP-190 : Senior Data Analyst

📍Location : Bangalore / Hyderabad / Chennai / Pune / NCR

🧠Experience : 7 - 15 Years

🆔Job Code : CAP-190

🏢Work Type : Hybrid - 3 Days in a Week

About the Client (CODE: CAP)

CAP operates at the forefront of the financial services industry, providing consulting, technology, and digital transformation solutions to leading organizations worldwide. With a focus on innovation, CAP empowers clients to navigate complex regulatory landscapes, optimize operations, and drive business growth. The company fosters a collaborative and agile culture, encouraging continuous learning and excellence.

Key Responsibilities

● Define and obtain source data required to deliver insights and use cases.

● Determine data mapping and join multiple data sets across various sources.

● Develop methods to highlight and report data inconsistencies for user review.

● Propose and assist with suitable data migration sets for stakeholders.

● Support teams in processing data migration sets and coordinating migration activities.

● Plan, track, and coordinate the data migration team and migration run-book.

● Collaborate with stakeholders to avoid negative customer and business impacts.

● Ensure robust communication and escalation mechanisms across project portfolios.

● Implement strategic solutions and avoid short-term workarounds.

● Maintain strong control and compliance standards in data handling.

Required Skills

● Minimum 7+ years of experience as a Data Analyst, preferably in financial services.

● Strong expertise in Pyspark, Python, and SQL.

● Experience with big data programs and data models in banking or financial markets.

● Ability to write SQL queries and navigate databases such as Hive, CMD, Putty, and Note++.

● Excellent analytical skills and commercial acumen.

● Strong verbal and written communication skills.

● Proven ability to manage multiple priorities and deliver within tight deadlines.

● Business analysis skills, including defining and understanding requirements.

● Familiarity with SDLC, Agile processes, and a bias towards TDD.

● Attention to detail and a proactive, problem-solving mindset.

Nice to Have

● Knowledge and experience in Data Quality & Governance.

● Working experience with Spark Scala or Java for Spark.

● Proven track record of managing small, delivery-focused data teams (for senior roles).

● Experience with market data vendors and domains such as Party/Client, Trade, Settlements, Payments, Instrument and Pricing, Market and/or Credit Risk.

Why Join CAP (Code Name)

Join CAP to work on impactful data initiatives within the financial services sector, tackling complex technical challenges and driving meaningful business outcomes. You'll collaborate with talented professionals in a dynamic, agile environment that values innovation and continuous improvement. CAP offers opportunities for professional growth, skill development, and the chance to contribute to high-visibility projects that shape the future of financial technology.

About the Employment Model

Direct Hire (Client Payroll) : For this role, you’ll be hired directly by the client and be part of their internal team. Straatix supports the hiring process, but your employment, payroll, and benefits are all managed by the client.

Strong Data / ETL Test Engineer

Mandatory (Total Experience): Must have 5+ years of overall experience in Testing/QA

Mandatory (Experience 1 ): Must have minimum 3+ years of hands-on end-to-end data testing/ETL testing experience, covering data extraction, transformation, loading validation, reconciliation, working across BI / Analytics / Data Warehouse / e-Governance platforms

Mandatory (Experience 2): Must have strong understanding and hands-on exposure to Data Warehouse concepts and processes, including fact & dimension tables, data models, data flows, aggregations, and historical data handling.

Mandatory (Experience 3): Must have experience in Data Migration Testing, including validation of completeness, correctness, reconciliation, and post-migration verification from legacy platforms to upgraded/cloud-based data platforms.

Mandatory (Experience 4): Must have independently handled test strategy, test planning, test case design, execution, defect management, and regression cycles for ETL and BI testing

Mandatory (Tools & Platforms)- Hands-on experience with ETL tools and SQL-based data validation is mandatory (Working knowledge or hands-on exposure to Redshift and/or Qlik will be considered sufficient)

Mandatory (Education & Academic Background): Must hold a Bachelor’s degree B.E./B.Tech else should have master's in M.Tech/MCA/M.Sc/MS

Mandatory (Communication Skills): Must demonstrate strong verbal and written communication skills, with the ability to work closely with business stakeholders, data teams, and QA leadership

Mandatory (Note): There are 2 offices Rajiv chowk and Patel chowk, candidate can be placed any office location

Mandatory Location: Candidate must be based within Delhi NCR (100 km radius)

Preferred

Company Description

Apollo Finvest is a publicly listed Non-Banking Financial Company (NBFC). Think of us as AWS for Lending. We enable any company to offer fully digital and compliant digital loan products to their end customers. Built on modern Restful APIs, we treat the financial services on our platform as building blocks, which our partners can mix and match to create loan products specifically tailored to their business model. 

Key Responsibilities

- Working closely with the Credit, Business, and Compliance team to manage and mitigate risk exposure.

- Monitoring of loan accounts, checking loan documents & timely preparing various MIS reports.

- Streamline operational processes to enhance efficiency.

- Ensure completeness of documentation in accordance with approved terms and conditions.

- Develop Risk and Operational strategy for line management, collections, underwriting, pricing etc.

- Assist COO and Credit team with operational and financial data analysis to establish early warning signals for risk exposure across lending products.

- Complying with RBI/Regulatory guidelines and establishing processes to safeguard risk exposure

Minimum Requirements

- Proven experience of minimum 5 years in progressively responsible risk and/or operations roles within the NBFC sector

- Has experience with scaling and managing lending products

- Attitude to work at lightning fast speed

- Background of underwriting, credit sanctioning, or credit policy drafting would be given a strong preference

- The candidate must be exceptional in people management, communication, and presentation skills.

- A proven track record of managing partners and engaging in solution selling would be preferred

- Highly organized and efficient, with the ability to multitask and meet tight deadlines

A strong work ethic and a result-oriented approach

*The CTC range exceeds to what is shown in the job description*