
Job Description :
-At least 2+ years of experience in core python development
-Develop reusable , testable and scalable code
-Good exposure to continuous integration tools like Jenkins
-Experience working with version controls like Git.
-Knowledge of popular python libraries and framework.
-Good to have aerospace domain knowledge
- Experience in OOPs /functional coding integrating applications
-Collaborate with other developers and team members to design and implement software solutions

Similar jobs
Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)
Experience : 4 to 8 Years
Location : Gurgaon Sector - 43
Employment Type : Full-time
Job Summary :
We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.
The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.
Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.
Key Responsibilities :
- Develop, optimize, and maintain backend services using Python (FastAPI, Django).
- Design and implement API endpoints for high-performance and secure data exchange.
- Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
- Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
- Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
- Optimize backend performance for scalability and reliability in AI-driven applications.
- Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
- Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.
Required Skills & Qualifications :
- 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
- Proficient in FastAPI and Django frameworks for API and backend development.
- Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
- Familiarity with machine learning model lifecycle and integration into production systems.
- Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
- Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
- Exposure to CI/CD pipelines and DevOps tools.
- Good understanding of Git, version control, and testing frameworks.
Nice to Have :
- Experience with LangChain, Hugging Face, or similar LLM frameworks.
- Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
- Understanding of vector databases (Pinecone, Chroma, etc.).
Education :
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
What you’ll do here:
•Lead the technical implementation of our platform using Python for new and existing clients
•Collaborate with internal teams to deliver seamless onboarding experiences for our clients.
•Translate business use-cases into scalable, secure, and maintainable technical solutions
•Own the technical relationship with clients, acting as a trusted advisor throughout the implementation lifecycle
•Conduct code reviews, enforce best practices, and ensure high-quality deliverables
•Mentor developers and contribute to internal tooling and automation
•Troubleshoot and resolve complex integration issues across cloud environments
What you will need to thrive:
•8+ years of software development experience.
•Strong proficiency in Python (preferred), C# .NET, or C/C++.
•Proven track record of leading technical implementations for enterprise clients.
•Deep understanding of Pandas, Numpy, RESTful APIs, webhooks, and data transformation pipelines.
•Excellent communication and stakeholder management skills.
Position of the role
The Principal Engineer reports to the Domain Lead and plays a key role in driving the technical vision, strategy, and execution of development initiatives. The Principal Engineer collaborates with multiple teams to ensure that software solutions are scalable, cost-optimized, performant, and aligned with business objectives.
Result expectation in terms of result areas and core activities
The Principal Engineer is responsible for defining, designing, and overseeing the implementation of complex software solutions. This role involves deep technical expertise, mentorship, and architectural guidance across multiple teams. The Principal Engineer also acts as a thought leader, influencing technology choices, best practices, and innovation within the organization.
Main objectives of the role
✔ Leading the design and architecture of the software by following best practices that ensure scalability, maintainability, cost optimization, and high performance.
✔ Driving innovation and continuous improvements in software development practices.
✔ Providing technical mentorship and coaching to engineers across teams.
✔ Ensuring the successful delivery of high-quality software aligned with business requirements.
✔ Defining and maintaining coding standards, best practices, and governance frameworks.
✔ Collaborating with product management and other stakeholders to shape the technical roadmap.
✔ Identifying technical debt and implementing strategies to mitigate it effectively.
✔ Promoting a culture of continuous learning, knowledge sharing, and cross-team collaboration.
✔ Leading DevOps, CI/CD, and automation to improve software delivery processes and efficiency.
Specialisation
✔ Deep understanding of software architecture, system design, and performance optimization.
✔ Translating complex business requirements into scalable and efficient software solutions.
✔ Handling large data transformations and ensuring system efficiency under the required load conditions.
✔ Leading initiatives for modernizing the technology stack and implementing best practices.
✔ Ensuring that security, scalability, and maintainability are embedded into development processes.
✔ Driving research and development efforts to explore emerging technologies and their business impact.
✔ Enabling teams to develop and maintain high-quality software through code reviews, architecture guidance, and technical strategy.
✔ Collaborating with product owners and stakeholders to ensure that development aligns with business goals and user needs.
Key processes in the role
✔ Agile / Scrum / Kanban development methodologies.
✔ CI/CD and DevOps practices to streamline delivery.
✔ Cloud-native architecture, monolith and microservices-based development.
✔ Scalable and high-performance computing strategies.
✔ Secure software development lifecycle (SDLC).
✔ Data-driven decision-making.
✔ Performance optimization.
Key relationships (teams and/or position titles)
✔ Engineering Teams (Developers, QA, DevOps).
✔ Head of Engineering and Technology Leadership.
✔ Product Management and Business Stakeholders.
✔ Customer Success and Solution Architects.
✔ External Technical Partners and Vendors.
Requirements
✔ Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.
✔ 10+ years of experience in software development, with a proven track record .
✔ Strong experience in Python and modern software engineering practices.
✔ Expertise in cloud computing platforms (AWS, Azure, or GCP).
✔ Experience in architecting and developing scalable, high-performance applications.
✔ Hands-on experience with CI/CD pipelines, DevOps tools, and automation.
✔ Deep understanding of microservices, monolith, APIs, and distributed systems.
✔ Strong experience with database technologies, including SQL and NoSQL.
✔ Excellent communication and leadership skills, with the ability to influence technical decisions across teams.
✔ A passion for mentoring, coaching, and fostering a strong engineering culture.
✔ Experience in defining and implementing technical governance and best practices.
Competences
✔ Strategic Thinking - 4
✔ Analytical Problem Solving - 4
✔ Technical Leadership & Mentorship - 4
✔ Communication & Collaboration - 3
Measures of success
✔ Technical leadership impact - measurable improvements in code quality, architecture, and scalability.
✔ Delivery of high-quality software within agreed timelines and business requirements.
✔ Successful mentorship - improvement in team skill levels, problem-solving capabilities, and innovation.
✔ Reduction of technical debt through strategic refactoring and modernization.
✔ Engineering team satisfaction - based on feedback and collaboration effectiveness.
✔ Improvements in system performance, stability, cost-optimization, and security.
✔ Adoption of best practices and emerging technologies across teams.
✔ Contribution to company-wide strategic initiatives through technical innovation and leadership.
- Programming Language: Python (Strong knowledge)
- Concurrency & Parallelism: Multithreading, Multiprocessing, AsyncIO, ThreadPoolExecutor, Future, concurrent.futures
- Memory Management: Reference Counting, Global Interpreter Lock (GIL)
- Distributed Computing: Dask, Apache Spark (Preferred)
- Data Processing: NumPy
- Inter-Service Communication: GRPC, REST API
- Containerization & Orchestration: Docker, Kubernetes
- Software Development Practices: Code Optimization, Debugging, Performance Tuning
- Communication & Problem-Solving: Technical Documentation, Team Collaboration, Asking for Clarity When Needed
Skills And Expertise
- Python,
- Multithreading,
- Multiprocessing,
- Dask, Apache Spark,
- NumPy,
- REST API,
- Docker,
- Kubernetes,
- Code Optimization
Location Delhi NCR
Opening Immediate
Search Context
Over 1.8 billion non-salaried informal sector workers globally, and roughly 700m Indians are
not eligible for pension or other social protection benefits. Without an urgent and effective
response to pension exclusion, they face the grim prospect of extreme poverty for over 20
years once they are too old to work.
pinBox is the only global pensionTech committed exclusively to mass-scale digital micropension inclusion among self-employed women and youth. We deploy our white-labelled,
API-enabled pension administration and delivery platform, our unique deployment model and
a simple and intuitive UI/UX to make access to regulated pension, savings and insurance
products easy and simple for non-salaried informal sector workers. We're working actively
with governments, regulators, multilateral aid agencies and leading financial inclusion
stakeholders in Asia and Africa. The pinBox model is already operating in Rwanda, Kenya
and India. We will expand to Bangladesh, Uganda, Chile, Indonesia and Nigeria by 2023.
Governments and pension regulators use the our pensionTech to jumpstart digital micropension and insurance inclusion among informal sector workers. Pension funds and insurers
use our pensionTech to build a mass market for their products beyond their traditional agentled customer base. Banks, MNOs, cooperatives, MFIs, fintech firms and gig-platforms use
our plug-and-play pensionTech to instantly offer an integrated social protection solution to
their clients, members and employees without any new investments in IT or capacity
enhancement.
We’ve recently completed our first equity fundraise to enhance our engineering, business
and delivery capacity and embark on the next stage of pinBox pensionTech development
and expansion. By 2025, we aim to enable and assist 100 million excluded individuals to
start saving for their old age in a secure, affordable and well-regulated environment.
pinBox is looking for senior software engineers who are deeply passionate about using IT to
solve difficult, real-life problems at scale across multiple countries.
The Senior Software Engineer will be expected to
1. Design, code, test, deploy and maintain applications to satisfy business requirements,
2. Plan and implement technical efforts through all phases of the software development
process,
3. Collaborate cross-functionally to make continuous improvements to the pinBox
pensionTech platform,
4. Help drive engineering plans through a broad approach to engineering quality
(consistent and thoughtful patterns, improved observability, unit and integration testing,
etc.),
5. Adhere to national and global architecture standards, risk management and security
policies,
6. Monitor the performance of applications and work with developers to continuously
improve and optimize performance.
The ideal candidate processes
1. An undergraduate degree in engineering,
2. At least 6 years’ experience as a software engineer or in a similar role,
3. Experience working with distributed version control systems such as Git / Mercurial
4. Frontend: Experience with HTML, CSS, bootstrap, Javascript, Jquery is necessary.
Experience with React / Angular will be an advantage,
5. Backend: Experience with Django/Python, PostgreSQL or any other RDBMS is
mandatory. Experience with Redis will be an advantage,
6. Experience in working with AWS / Azure / Google Cloud,
7. As our applications use a number of third party micro-services, experience with REST
APIs, as also with the Indian digital finance ecosystem (UPI, e-KYC) will be both
necessary and an advantage,
8. Critical thinking and problem-solving skills, and
9. Excellent teamwork and interpersonal skills, a keen eye for detail and the ability to
function effectively and proactively under tight deadlines.
Programming Languages: Perl, Python, java. Perl programming with strong OOPs knowledge.
- UI: HTML, JS
- System: Linux must have – good knowledge and shell scripting experience.
- Prior experience in infrastructure automation, monitoring will definitely help.
Description:
The person in this role:
- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors
- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)
Preferred skills:
Perl
- Shell scripting
- Unix
- Jenkins










