11+ Surveillance Jobs in Pune | Surveillance Job openings in Pune
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Deep Learning
Machine Learning (ML)
Python
Docker
KubernetesAn experienced and hands-on Technical Architect to lead our Video analytics & Surveillance product
• An ideal candidate would have worked in large scale video platforms (Youtube, Netflix, Hotstar, etc) or Surveillance softwares
• As a Technical Architect, you are hands-on and also a top contributor to the product development
• Leading teams under time-sensitive projects
Skills Required:
• Expert level Python programming language skills is a MUST
• Hands-on experience with Deep Learning & Machine learning projects is a MUST
• Has to experience in design and development of products
• Review code & mentor team in improving the quality and efficiency of the delivery
• Ability to troubleshoot and address complex technical problems.
• Has to be a quick learner & ability to adapt to increasing customer demands
• Hands-on experience in design and deploying large scale docker and Kubernetes
• Can lead a technically strong team in sharpening the product further
• Strong design capability with microservices-based architecture and its pitfalls
• Should have worked in large scale data processing systems
• Good understanding of DevOps processes
• Familiar with Identity management, Authorization & Authentication frameworks
• Possesses very strong Software Design, enterprise networking systems, advanced problem-solving skills
• Experience writing technical architecture documents
KubernetesDocker
Amazon Web Services (AWS)Job Title : Senior QA Automation Architect (Cloud & Kubernetes)
Experience : 6+ Years
Location : India (Multiple Offices)
Shift Timings : 12 PM to 9 PM (Noon Shift)
Working Days : 5 Days WFO (NO Hybrid)
About the Role :
We’re looking for a Senior QA Automation Architect with deep expertise in cloud-native systems, Kubernetes, and automation frameworks.
You’ll design scalable test architectures, enhance automation coverage, and ensure product reliability across hybrid-cloud and distributed environments.
Key Responsibilities :
- Architect and maintain test automation frameworks for microservices.
- Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions).
- Ensure reliability, scalability, and observability of test systems.
- Work closely with DevOps and Cloud teams to streamline automation infrastructure.
Mandatory Skills :
- Kubernetes, Helm, Docker, Linux
- Cloud Platforms : AWS / Azure / GCP
- CI/CD Tools : Jenkins, GitHub Actions
- Scripting : Python, Pytest, Bash
- Monitoring & Performance : Prometheus, Grafana, Jaeger, K6
- IaC Practices : Terraform / Ansible
Good to Have :
- Experience with Service Mesh (Istio/Linkerd).
- Container Security or DevSecOps exposure.
C++As a C++ developer working in front office electronic trading, your role involves developing and maintaining software solutions for trading systems used in financial markets. Here are some key aspects of your responsibilities:
C++ Programming: Mastery of the C++ programming language is essential, as most trading systems are built using C++ due to its performance and efficiency.
Electronic Trading Systems: You'll work with electronic trading systems that execute trades automatically based on predefined algorithms or user instructions. Understanding order execution, order management, and market data processing is crucial.
Multithreading: Multithreading is vital in electronic trading systems to handle concurrent tasks efficiently. You'll need to design, implement, and debug multithreaded applications to ensure optimal performance and reliability.
Low-Latency Systems: Electronic trading often requires low-latency systems to execute trades swiftly. You'll optimize code and algorithms to minimize latency and ensure timely order execution.
Algorithmic Trading: Knowledge of algorithmic trading strategies and implementing them in software is advantageous. This includes understanding mathematical models, statistical analysis, and risk management.
Networking: Understanding network protocols and communication is necessary for connecting trading systems to exchanges, brokers, and other financial institutions. This involves working with TCP/IP, UDP, and messaging protocols like FIX (Financial Information Exchange).
Risk Management: You'll implement risk controls and safeguards in trading systems to prevent erroneous trades or mitigate risks associated with market volatility.
Testing and Debugging: Thorough testing and debugging are crucial to ensure the reliability and stability of trading systems. You'll write automated tests, perform manual testing, and debug issues to maintain system integrity.
Performance Optimization: Continuously optimizing the performance of trading systems is essential to handle increasing trading volumes and maintain competitiveness. This involves profiling code, identifying bottlenecks, and applying optimizations.
Regulatory Compliance: Adhering to regulatory requirements and standards in the financial industry is critical. You'll ensure that trading systems comply with regulations such as MiFID II, Dodd-Frank, and others applicable to electronic trading.
Collaboration: Working closely with traders, quants, risk managers, and other stakeholders to understand requirements and implement solutions that meet business needs.
Documentation: Maintaining clear and comprehensive documentation for code, algorithms, and system architecture is important for knowledge sharing and compliance purposes.
Overall, being a C++ developer in front office electronic trading requires a strong technical foundation, attention to detail, and the ability to work effectively in a fast-paced and demanding environment.
React.js
Java
Elastic SearchWe are seeking a highly skilled and motivated Full Stack Developer with strong proficiency in React.js for front-end development and Java (Spring Boot) for back-end services. The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications, ensuring responsiveness and performance across the stack.
Key Responsibilities:
- Develop and maintain front-end web applications using React.js, Redux, Elastic Serach, TypeScript, HTML5, and CSS3.
- Design and implement RESTful APIs and microservices using Java, Spring Boot, and related frameworks.
- Collaborate with UI/UX designers, product managers, and QA to translate business requirements into technical solutions.
- Optimize applications for maximum speed and scalability.
- Integrate with third-party APIs, services, and databases.
- Write clean, maintainable, and testable code following best practices.
- Conduct code reviews, unit testing, and participate in system design.
- Troubleshoot and debug production issues as needed.
- Participate in Agile/Scrum development lifecycle including sprint planning, stand-ups, and retrospectives.
Key Responsibilities:
• Provide day-to-day support for the Fiserv Signature platform, responding to issues, troubleshooting, and resolving technical problems efficiently.
• Collaborate with clients and internal teams to analyze, configure, and implement solutions on the Fiserv Signature platform.
• Assist in system upgrades, patches, and maintenance activities to ensure the platform remains secure and up to date.
• Conduct detailed investigations to identify root causes of issues and propose effective solutions.
• Support client onboarding, data migrations, and customizations as needed.
• Document issues, resolutions, and procedures to maintain a knowledge base for the support team.
• Provide training and guidance to end-users regarding system features, functionalities, and best practices.
• Work with vendors or Fiserv support for escalation of unresolved issues and coordination of system fixes.
• Identify areas of improvement within the platform and collaborate with the development team to implement solutions.
• Perform system monitoring and performance checks to ensure optimal platform performance.
• Assist in testing new features and updates prior to production rollout.
• Keep clients updated on progress, ensuring a high level of customer satisfaction.
Secondary Skill
Bachelor’s degree in information technology, Computer Science, Business, or a related field (or equivalent work experience).
• Proven experience supporting Fiserv Signature or similar banking/financial services platforms.
• Strong technical proficiency in troubleshooting and resolving system-related issues.
• Familiarity with banking systems, transactions, and financial software.
• Understanding of system architecture, integrations, and workflows in relation to Fiserv Signature.
• Excellent communication skills, both written and verbal.
• Strong problem-solving and analytical abilities.
• Ability to work independently and as part of a team.
• Experience in project management and working with cross-functional teams.
Preferred Qualifications:
• Certification in Fiserv Signature or similar platforms.
• Experience with database management (SQL, Oracle, etc.).
• Experience with web services, APIs, and integrations.
• Familiarity with Agile or Scrum methodologies.
Skills and Attributes:
• Technical troubleshooting and analytical thinking.
• Strong interpersonal skills with the ability to work with clients at all levels.
• Ability to handle multiple tasks and meet deadlines in a fast-paced environment.
• Attention to detail and the ability to work with precision
Java
Spring BootWe are seeking a highly skilled Senior Java Developer with expertise in Microservices architecture and Spring Boot to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable, high-performance backend solutions.
Key Responsibilities:
- Design, develop, and maintain Java-based applications using Spring Boot and Microservices architecture.
- Develop and implement RESTful APIs and integrate them with front-end components.
- Optimize application performance and ensure high availability and scalability.
- Collaborate with cross-functional teams to gather and analyze business requirements.
- Implement security best practices, including authentication and authorization mechanisms.
- Develop and maintain unit and integration tests to ensure robust software quality.
- Work with DevOps teams to automate CI/CD pipelines and ensure smooth deployment processes.
- Monitor and troubleshoot production issues, providing efficient resolutions.
- Stay updated with emerging technologies and best practices in Java development and cloud-native applications.
Required Skills & Qualifications:
- 8+ years of hands-on experience in Java development.
- Expertise in Spring Boot, Spring MVC, Spring Cloud, and other Spring frameworks.
- Strong experience with Microservices architecture and API development.
- Proficiency in RESTful services, JSON, and Swagger/OpenAPI.
- Hands-on experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis).
- Familiarity with message brokers like Kafka or RabbitMQ.
- Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, or GCP).
- Solid understanding of CI/CD pipelines using Jenkins, GitLab, or similar tools.
- Strong problem-solving skills and the ability to work in an agile development environment.
- Excellent communication and teamwork skills.
Nice-to-Have:
- Experience with GraphQL and event-driven architecture.
- Knowledge of reactive programming using WebFlux.
- Familiarity with observability tools like Prometheus, Grafana, ELK stack.
We’re in search of an experienced QA Team Leader to handle testing of the company’s product or system. As QA Team Leader you will be responsible for designing and implementing tests, debugging issues, performing root-cause analyses, defining corrective actions, and tracking quality assurance metrics. You will be responsible for our student test engineers to follow up and coach them. Dare to make a difference and have an impact from Day One!
Job Profile:
Role and responsibility
- Create detailed, comprehensive, and well-structured testing documentation.
- Allocate work across the team to ensure business requirements are met.
- Design and execute test plans, test cases, and test scripts for functional, regression, and performance testing.
- Establish QA metrics, goals, and objectives in alignment with organizational objectives.
- Manage the QA testing environment, including configuring test environments and maintaining test data integrity.
- Expert in the API testing.
- Proficient in the database testing
- Experienced with J Meter
- Participating in daily stand-up meetings, sprint planning, and sprint retrospectives.
- Collaborate with cross-functional teams, including product development, engineering, and customer support, to identify quality issues and drive resolution.
- Conduct thorough testing of software applications, systems, and products to identify defects and ensure adherence to quality standards.
- Stay current with industry trends and best practices in software quality assurance and testing methodologies.
Skills and qualifications
- Bachelor’s or master’s degree in engineering.
- Min 6 years of experience in software testing
- Strong knowledge of software QA methodologies and tools
- Strong communication and interpersonal skills
- Ability to lead and motivate a team of testers
- Ability to work in a fast-paced environment and meet deadlines
- Experience with test management tools (e.g. JIRA, Quality Center)
- High effectiveness in managing cross-functional teams.
- Having experience in automation testing will be an added advantage like selenium, APM, Rest Assured/Karate Framework, Jenkin
Java
NodeJS (Node.js)About Lentra:
Lentra is a new-age, domain-native platform built from the ground up, designed and developed to empower financial institutions with tomorrow’s lending ecosystem, today. With its full-stack, fully digital, secured products and solutions, Lentra is the future of smart, seamless, secure digital lending.
Our solutions cover the Indian lending stack effectively for digital origination by providing capabilities like eKYC, vKYC, eSign, eNACH, etc., besides MultiBureau(R), a comprehensive BRE for faster decisioning and configurable onboarding workflows. Reliability and minimal TATs are the key takeaways from Lentra’s offerings.
Our Marquee Clients including the topmost private banks in India are now future ready and encashing business opportunities. Lentra's zero risk instant lending solution will empower the FIs to leapfrog into the future.
About the Role:
Lentra AI Pvt. Ltd looking for a Senior Software Engineer to contribute to the software development life cycle, from design and development to testing, release and maintenance. Software Developer responsibilities include building web application modules and testing features before release. If you have hands-on experience developing software with agile methodologies and are ready to lead our junior developers, we'd like to meet you. Ultimately, you will create, enhance, deploy and maintain functional, secure and high-quality applications
Responsibilities:
The candidate has to perform the below responsibilities:
- Active contribution in designing, developing, testing, deploying and maintaining software
- Collaborate with the team to develop web services, mobile and web applications
- Write well designed, efficient, secure and performant code
- Follow best practices in design and testing
- Review, test and debug team members code
- Actively contribute in writing and updating documents
Candidate requirements:
- Candidates should have a minimum of 5 year of experience in web based development using these technologies:
- Core Java, SpringMVC, Node.js, ORM
- Working knowledge of relational database and noSQL databases, Caching technologies
- RESTful, SOAP, JSON
- Angular, HTML5, CSS
- Proficient understanding of code versioning tools, such as Git
- Knowledge of Agile Scrum development Methodologies
- Integrate applications with network systems, servers, and databases
- Troubleshoot problems with application development and use
- Excellent conceptual, and critical thinking capabilities
- Self-directed and self-motivated with the ability to take charge or play a supporting role
- Strong understanding of product development
- Clear written and verbal communications skills (English), including presentation
Location & commitments:
- This is a Permanent Opportunity.
- Job Location is Pune
Data ScienceMachine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
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