Quality Assurance Engineer - Mobile Application Testing

Job Summary

We are looking for a Technical Lead with strong expertise in AWS, Node.js, Angular, and MongoDB to drive the design, development, and deployment of scalable applications. The ideal candidate will be responsible for leading a team of developers, defining best practices, and ensuring high-quality code delivery while working in an agile environment.

Key Responsibilities

• Lead the end-to-end development of web applications using Node.js, Angular, and MongoDB.
• Architect scalable, secure, and high-performance cloud-based applications on AWS.
• Provide technical guidance, code reviews, and mentorship to the development team.
• Optimize backend APIs and database queries for performance and scalability.
• Ensure best practices in coding, security, and DevOps for cloud deployment.
• Collaborate with cross-functional teams including UX/UI designers, product managers, and DevOps engineers.
• Implement CI/CD pipelines, automated testing, and infrastructure as code on AWS.
• Troubleshoot production issues and drive continuous improvement in system reliability.
• Stay updated with emerging technologies and advocate for relevant tech adoption.

Required Skills & Experience

• 4+ years of hands-on experience in software development.
• Strong proficiency in Node.js (Fastify/Express), Angular (latest versions), and MongoDB (Mongoose, Aggregations, Indexing).
• Cloud expertise with AWS services like EC2, S3, Lambda, API Gateway, ECS, Code Build, Athena, Glue etc.
• Experience with Microservices Architecture.
• Strong knowledge of RESTful APIs, WebSockets, GraphQL, and authentication mechanisms (OAuth, JWT, SSO).
• Experience with DevOps & CI/CD tools (GitHub Actions, Jenkins, Terraform, Ansible).
• Hands-on experience with performance tuning, caching strategies (Redis, CloudFront), and database optimisation.
• Strong problem-solving, leadership, and communication skills.

Good to Have

• Experience with AI/ML integration in applications.
• Knowledge of Serverless Architectures (AWS Lambda, Step Functions).
• Exposure to NoSQL databases like Elasticsearch.
• Familiarity with GraphQL, WebRTC, or real-time data processing.

Why Join Us?

• Work on cutting-edge technologies in a fast-paced environment.
• Opportunity to lead a strong technical team and shape the product architecture.
• Competitive salary and benefits package.
• A culture that values innovation, ownership, and growth.

As a Security Researcher in SaaS security posture management, your primary responsibility will be to conduct research on emerging security threats and vulnerabilities in SaaS environments and to develop and implement strategies to mitigate those risks. Specifically, your job duties will include: Conducting in-depth research on emerging security threats and vulnerabilities in SaaS environments.

• Analyzing data and security logs to identify potential threats and take proactive measures to prevent them.
• Developing and implementing security policies and procedures to protect against security threats in SaaS environments.
• Collaborating with other members of the IT team to implement security measures and ensure compliance with industry standards and regulations.
• Keeping up-to-date with the latest security technologies and trends in SaaS security posture management.
• Communicating findings and recommendations to management and other stakeholders.
• Participating in incident response and resolution activities in the event of a security breach in SaaS environments.
• To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Information Security, or a related field, and have experience in researching emerging security threats and vulnerabilities in SaaS environments. You should also have strong analytical and problem-solving skills, and hold industry certifications such as CISSP, CEH, or OSCP. Excellent communication and collaboration skills are essential to work effectively with cross-functional teams.

The ideal candidate will analyze, review, and implement changes to websites so they are optimized for search engines. This candidate will be able to implement actionable strategies that will improve site visibility.

• ResponsibilitiesReview and analyze client sites for areas needing improvement
• Prepare detailed strategy reports
• Create and launch campaigns
• Improve clients 'rank' in major search engines

Qualifications

• Bachelor's degree in Information Technology or related field
• 3+ years' of technical experience
• Strong analytical skills
• Understanding of all search engines and functions as well as marketing

● Attending virtual sales meetings.

● Responding to client’s queries via email or calls.

● Determining a client’s business requirements and whether the products being considered are suitable.

● Answering any technical questions, the client might have

● Presenting your findings to the technical team & project manager to act on, after confirmation from the Project manager convey the outcome to the client

● Carry out cold-calling in order to create interest in products and services, generate new business leads and arrange meetings.

● Prepare and deliver presentations and demonstrations to customers.

● Meet sales targets set by managers and contribute to team targets.

We are looking for an enthusiastic marketing intern to join our marketing department and provide creative ideas to help achieve our goals. You will have administrative duties in developing and implementing marketing strategies.

As a marketing intern, you will collaborate with our marketing and advertising team in all stages of marketing campaigns. Your insightful contribution will help develop, expand and maintain our marketing channels. This internship will help you acquire marketing skills and provide you with knowledge of various marketing strategies. Ultimately, you will gain broad experience in marketing and should be prepared to enter any fast-paced work environment.

Responsibilities:

• Collect quantitative and qualitative data from marketing campaigns

• Perform market analysis and research on the competition

• Support the marketing team in daily administrative tasks

• Assist in marketing and advertising promotional activities (e.g. social media, direct mail, and web)

• Prepares promotional presentations

• Help distribute marketing materials

• Manage and update company database and customer relationship management systems (CRM)

• Help organize marketing events

Job Description
Lead Machine Learning (ML)/
NLP Engineer
5 + years of experience

About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
Frost and Sullivan’s Product Innovation Award for Market and
Competitive Intelligence Platforms.

The role
We are looking for a hardworking, aspirational, and innovative
engineering person for the Lead ML/ NLP Engineer position. You’ll build
Contify’s ML and NLP capabilities and help us extract value from
unstructured data. Using advanced NLP, ML, and text analytics, you will
develop applications that will extract business insights by analyzing a
large amount of unstructured text information, identifying patterns, and
by connecting the events.
Responsibilities:
You will be responsible for all the processes from data collection, and
pre-processing, to training models and deploying them to production.
➔ Understand the business objectives; design and deploy scalable
ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
➔ Defining and supervising the data collection process, verifying data
quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
them
➔ Research and implement the right algorithms and tools for ML/
NLP tasks
➔ Collaborate with engineering and product development teams
➔ Represent Contify in external ML industry events and publish
thought leadership articles

Desired Skills and Experience
To succeed in this role, you should possess outstanding skills in
statistical analysis, machine learning methods, and text representation
techniques.
➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
classification algorithms
➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs)
and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ Language models like Bert, GPT,  RoBERTa, XLNet 
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
◆ Classification algorithms like LinearSVC, SVM, LR
◆ XGB, MultinomialNB, etc.
◆ Other Algos- PCA, Clustering methods, etc
➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
model selection & ensemble methods, performance metrics &
visualization
➔ Evaluation Metrics- Root Mean Squared Error, Confusion Matrix, F
Score, AUC – ROC, etc
➔ Understanding of knowledge graph will be a plus


Qualifications
➔ Education: Bachelors or Masters in Computer Science,
Mathematics, Computational Linguistics or similar field
➔ At least 4 years' experience building Machine Learning & NLP
solutions over open-source platforms such as SciKit-Learn,
Tensorflow, SparkML, etc
➔ At least 2 years' experience in designing and developing
enterprise-scale NLP solutions in one or more of: Named Entity
Recognition, Document Classification, Feature Extraction, Triplet
Extraction, Clustering, Summarization, Topic Modelling, Dialog
Systems, Sentiment Analysis
➔ Self-starter who can see the big picture, and prioritize your work to
make the largest impact on the business’ and customer’s vision
and requirements
➔ Being a committer or a contributor to an open-source project is a
plus

Note
Contify is a people-oriented company. Emotional intelligence, therefore,
is a must. You should enjoy working in a team environment, supporting
your teammates in pursuit of our common goals, and working with your
colleagues to drive customer value. You strive to not only improve
yourself, but also those around you.