11+ DO-160 Jobs in India

Design, development, testing, installation, integration, maintenance of various airbourne and ground based systems and subsystems. 

Work along with various DRDO units and perform various tasks based on the DRDO guidelines

Liaise with various regulatory bodies such as CEMILAC, DGAQA etc. and achieve various set target processes

Documentation of various interface documents, manuals, maintenance etc.  

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

Responsibilities

Lead and manage a talented Engineering Team of 8+ members. Provide technical guidance and mentorship to team members and assist them in their career progression.

Set OKRs, progress checks and do performance evaluations. Manage the development pipeline to deliver features on schedule while maintaining high bar for quality.

Closely Interact with other functions such as PM, Design, UI/UX, Art, QA, and deliver planned features.

Perform Design reviews, Code reviews Create a solid Tech backlog that involves modernizing tech stack, set goals for performance improvements.

Establish Best Process and Development Practices and drive the centre of excellence for the teams. Updates with new technology trends and constantly evolve Facilitate and create problem-solving culture in the team.

Be obsessed about players and giving the best experience to our players.

Requirements

Master's or Bachelor's Degree in Computer Science, Engineering or equivalent.

Should have 8+ years of professional experience in mobile, development using C++, C#, PYTHON, GO Lang, Javascript.

Should have 2+ years of experience in managing teams, including hiring, mentoring and building strong teams.

Shown ability to motivate teams and operate effectively in a fast-paced, high-energy environment.

Exposure to using Agile and Scrum methodologies. Good communication skills, interpersonal skills with experience in building strong internal relationships.

Good Analytical, Problem-solving and Debugging skills.

Hands-on experience in Designing, Coding and release management. Desired Skills and Experience NET,C++,Golang,Java,JavaScript,Python,Quality Assurance,C#

Electrum is looking for an experienced and proficient DevOps Engineer. This role will provide you with an opportunity to explore what’s possible in a collaborative and innovative work environment. If your goal is to work with a team of talented professionals that is keenly focused on solving complex business problems and supporting product innovation with technology, you might be our new DevOps Engineer. With this position, you will be involved in building out systems for our rapidly expanding team, enabling the whole engineering group to operate more effectively and iterate at top speed in an open, collaborative environment. The ideal candidate will have a solid background in software engineering and a vivid experience in deploying product updates, identifying production issues, and implementing integrations. The ideal candidate has proven capabilities and experience in risk-taking, is willing to take up challenges, and is a strong believer in efficiency and innovation with exceptional communication and documentation skills.

YOU WILL:

• Plan for future infrastructure as well as maintain & optimize the existing infrastructure. 
• Conceptualize, architect, and build:
• 1. Automated deployment pipelines in a CI/CD environment like Jenkins;
• 2. Infrastructure using Docker, Kubernetes, and other serverless platforms; 
• 3. Secured network utilizing VPCs with inputs from the security team. 
• Work with developers & QA team to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional, and performance status.
• Work with developers to institute systems, policies, and workflows which allow for a rollback of deployments. 
• Triage release of applications/ Hotfixes to the production environment on a daily basis.
• Interface with developers and triage SQL queries that need to be executed in production environments.
• Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
• Assist the developers and on calls for other teams with a postmortem, follow up and review of issues affecting production availability.
• Scale Electum platform to handle millions of requests concurrently.
• Reduce Mean Time To Recovery (MTTR), enable High Availability and Disaster Recovery

PREREQUISITES:

• Bachelor’s degree in engineering, computer science, or related field, or equivalent work experience.
• Minimum of six years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructures such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail, and other services provided by AWS.
• At least 2 years of experience in building and owning serverless infrastructure.
• At least 2 years of scripting experience in Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible).
• Experience building a multi-region highly available auto-scaling infrastructure that optimizes performance and cost.
• Experience in automating the provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
• Must have prior experience automating deployments to production and lower environments.
• Worked on providing solutions for major automation with scripts or infrastructure.
• Experience with APM tools such as DataDog and log management tools.
• Experience in designing and implementing Essential Functions System Architecture Process; establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
• Experience establishing and enforcing:
• 1. System monitoring tools and standards
• 2. Risk Assessment policies and standards
• 3. Escalation policies and standards
• Excellent DevOps engineering, team management, and collaboration skills.
• Advanced knowledge of programming languages such as Python and writing code and scripts.
• Experience or knowledge in - Application Performance Monitoring (APM), and prior experience as an open-source contributor will be preferred.

Roles & Responsibilities

As a member of our fast-growing engineering team, your responsibility will be to get involved in day-to-day development operations and solve complex problems of digitization to meet the demands of business.

To be successful, you must have a self-driven mindset, go getter attitude.

The responsibilities include:

• Writing the clean quality code & Understanding functional requirements thoroughly and analyzing the requirements in the context of the product
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities
• Being able to lead/support UAT and production roll outs
• Creating, understanding and validating estimated effort for given module/task, and being able to justify it
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations
• Helping the team in troubleshooting and resolving complex bugs
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken
• Carrying out POCs to make sure that suggested design/technologies meet the requirements
• Carrying out DevOps activities which includes creating Jenkins pipeline

Key Skills

Should possess hands-on full life-cycle development experience (architect, design, code, test, release) be comfortable around both front-end and back-end coding languages, client/server-side development frameworks and third-party libraries.

• Should be strong in data structures and algorithms. Solid understanding of object-oriented programming
• Work with cutting edge technologies like Java 8, Scala, React, Akka, Docker, Puppet, and Salt
• Hands-on knowledge of Spring core, MVC, JPA. Working knowledge of Spring Boot
• Should have strong hands-on on one of the JavaScript frameworks: jQuery, AngularJS, ReactJS, and Vue.js.
• Willing to working with latest Cloud and Container technologies like AWS
• Experience with both external and embedded databases. NoSQL DB experience is good to have
• Implementing unit testing using frameworks like JUnit, Mockito, etc.
• Proficient understanding of code versioning tools, such as Git
• Familiarity with Maven (Other building tools Ant and Gradle are good to have)
• Familiarity with continuous integration
• Good understanding of Agile practices

• Working with various departments to coordinate and develop digital CRM solutions including bespoke in-house software
• Writing clean, manageable code and maintaining proper documentation
• Collaborating with cross-functional teams to define, design, and deliver new features
• Meeting tight deadlines

What you need to have:

• Minimum 2 years of hands-on experience
• Excellent command over Data Structures and Algorithms
• Strong problem solving and analytical skills
• Knowledge of benchmarking and optimization
• Security mindedness in development practices
• Ability to work independently in small teams    

Roles & Responsibilities:

• Build a high-quality web application from scratch.
• Responsive and adaptive web page implementation.
• Identify and communicate best practices for back-end engineering.
• Design, build and maintain efficient, reusable, and reliable code to ensure the applications' best possible performance, quality, and responsiveness.
• Implement automated testing platforms and unit tests.
• Prepare and maintain all applications utilizing standard development tools.
• Keep abreast of new trends and best practices in web development.
• Learn new Software/frameworks/ languages/ technology with ease.
• Must be able to apply innovative thinking at work.

Desired Skills:

• Good working knowledge of PHP-based MVC framework Laravel.
• Good knowledge of PHP, HTML, CSS & Javascript and understanding of Database concepts & working knowledge of MySQL.
• A clear understanding of RESTful API development standards.
• Excellent problem-solving skills.
• Software testing (PHPUnit, PHPSpec)

Content Writer

Roles & Responsibility:

To write on a variety of topics related to education and courses offered by the colleges and institutions in India and educational news and updates etc.

Knowledge of writing articles, blog posts, descriptions, page titles etc. for digital media.

Create content which gives website readers access to information in a simple, easy to understand language.

The content writer should know the target audience and write content to engage and draw visitors.

Generate content, making smart use of keywords. The text should have relevant keywords and variations for better search engine ranking and indexing.

Creating stories from in-house reports/surveys monthly.

Developing new ideas for web content.

Work with team members to enhance content pieces.

Desired Profile

Freshers with impressive writing skills are welcome.

As a web content writer, the ability to write engaging content for websites.

Knowledge in writing content for websites/print/company blogs.

Good written and communication skills.

Awareness of Search Engine Optimization (SEO), internet marketing trends is a plus.

Excellent time management skills.

Personal Traits:

Excellent written and oral communication skills.

Excellent problem-solving skills.

Should be excellent in Time Management, Planning Skills & Organizing Skills.