AWS System Engineer

About the client

The client is the home base for hardware engineers. They give the teams building robots, rockets, medical devices, and the next generation of physical products a single place to move fast without breaking things, turning CAD chaos into a system of record engineers actually love to work in. They are profitable, post-Series A, and growing the Hyderabad engineering team.

About the role

We're looking for a senior full-stack engineer to own significant pieces of our platform end-to-end, from React frontends to Node services on AWS. You'll ship production features, make sound technical decisions, and set a high bar for quality through your own work.

What you'll do

• Design, build, and ship full-stack features across our TypeScript/React frontend and Node.js backend on AWS
• Own systems end-to-end, from implementation through deployment, monitoring, and production hardening
• Write clean, well-tested code and contribute to a strong engineering culture through thorough code review
• Make pragmatic architecture and design decisions, weighing tradeoffs in an ambiguous, fast-moving environment
• Tackle hard problems across data processing, file workflows, and distributed systems at scale
• Collaborate closely with product and the rest of engineering to scope and deliver reliably

What we're looking for

• Strong full-stack proficiency in TypeScript, React, and Node.js
• Solid, practical experience with AWS A track record of shipping features all the way to production and owning them in operation, not just to "done on my machine"
• Good design judgment: you can decompose problems and choose pragmatic solutions
• Proactive, clear communication; you surface blockers early and keep stakeholders informed
• Comfort with the fast pace, breadth, and high ownership of an early-stage environment Build hardware faster. better. together. ·

Why choose us?

• The teams building advanced hardware and the robots, machines, and devices shaping the future run
• Direct access to founders; you'll help shape product and engineering direction, not just execute tickets
• Fast feedback loops: what you build is in front of customers in days, not quarters
• Profitable at Series A, so you get startup upside without the constant fundraising-survival anxiety
• Competitive compensation and meaningful equity
• Bi-yearly appraisal cycles
• Upto 20% Bonus based on performance
• Monthly Swiggy vouchers
• Flexibility with work hours

Data Scientist or Senior Machine Learning Engineer

We are currently hiring for the position of Data Scientist/ Senior Machine Learning Engineer (6–7 years' experience).

Please find the detailed Job Description attached for your reference.

We are looking for candidates with strong experience in:

• Machine Learning model development
• Scalable data pipeline development (ETL/ELT)
• Python and SQL
• Cloud platforms such as Azure/AWS/Databricks
• ML deployment environments (SageMaker, Azure ML, etc.)

Kindly note:

• Location: Pune (Work from Office)
• Immediate joiners preferred

While sharing profiles, please ensure the following details are included:

• Current CTC
• Expected CTC
• Notice Period
• Current Location
• Confirmation on Pune WFO comfort

Must have Skills

• Machine Learning - 6 Years
• Python - 6 Years
• ETL (Extract, Transform, Load) - 6 Years
• SQL - 6 Years
• Azure - 6 Years

Request you to share relevant profiles at the earliest. Looking forward to your support.

Requirements

Experience

• 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
• Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
• Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
• Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
• Experience with GPU computing to do data and model training parallelism.
• Solid software engineering skills in developing systems for production.
• Strong expertise in Python.
• Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
• Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
• Having Geospatial / Remote sensing experience is a plus.

Nvizion Solutions is looking for the position of Site Reliability Engineer.

If interested, kindly share your resume along with contact details.

Title: Site Reliability Engineer

No. of job openings: 2

Location:Gurgaon/ Hyderabad/ Bengaluru/ Mumbai/Chennai ( Remote location)

Remuneration:Best in the Industry

·      Experience required: 2 to 4 yrs in the industry

·      Ensuring overall System's reliability

·      Add automation and alerting in the system

·      Providing Troubleshooting support

·      Cross team communications. Working closely with Product team and Customer success team.

·      Proactive support - to ensures the system is back to the healthy state

·      R&D for new tools/technologies to support product and support team

·      Good verbal/written communication to connect with the client.

·      Good team player with a zeal to learn new technologies.

·      The candidate will be part of the team responsible for 24X7 monitoring of distributed global platform.

• Linux Scripting
• CI/CD knowledge (Jenkins/ BitBucket Pipelie /GitOps)
• Version Control
• Cloud platform knowledge (GCP/AWS/Azure/Digital Ocean)
• Docker, Kubernetes

1.   In-Depth knowledge and experience with C# .NET Core are must.

2.   Experience in working with API Gateways, REST, SOAP, OAuth, SAML.

3.   Experience inworking with Kafka based environment.

4.   Microservices and Event driven Architecture (with a focus on cloud).

5.   Experience and understanding of OOPS and SOLID design principals.

6.   Well verse with Design Patterns.

7.   Familiarity with Azure and AWS offerings.

8.   Understanding of Relational and NoSQL databases SQL Server, Azure SQL, MongoDB, Elastic.

9.   Familiarity with the .NET framework

10. Familiar with various design and architectural patterns

11. Knowledge of concurrency patterns in C#

12. A willingness to get trained and work on cutting edge technologies like React, Node etc.

13. Understanding fundamental design principles behind a scalable application

14. Implementing automated testing platforms and unit tests

15. Proficient understanding of code versioning tools Git

Familiarity with CICD tools, JIRA, Azure devops etc

DevOps Engineer

Job Description:

The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.

Skills:

• Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
• Strong hands-on over Ansible is preferred
• Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
• Should have core knowledge in Linux and System operations.
• Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
• Conduct and automate audits for network and systems infrastructure.
• Do software deployments, per documented processes, with no impact to customers.
• Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
• Troubleshoot connectivity problems across network, systems or applications.
• Follow security guidelines, both policy and technical to protect our customers.
• Ability to automate recurring tasks to increase velocity and quality.
• Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
• Should have knowledge and hands-on experience in managing ELK clusters.
• Scripting Knowledge in Shell/Python is added advantage.
• Hands-on Experience over K8s based Microservice Architecture is added advantage.

• Research and develop statistical learning models for data analysis
• Collaborate with product management and engineering departments to understand company needs and devise possible solutions
• Keep up-to-date with latest technology trends
• Communicate results and ideas to key decision makers
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Optimize joint development efforts through appropriate database use and project design

Qualifications/Requirements:

• Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
• 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent communication skills written, verbal and presentation

Desired Experience:

• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Knowledge and experience with NLP technology
• Previous work in a start-up environment

Key Job Responsibilities:

• He/She is a responsive team player who can proactively contribute for building technical

strategies for applications and systems by promoting an understanding of the technology and business roadmap.

• He /she is someone who thrives in a fun, fast-paced, dynamic, startup-like environment.
• Work very closely with various business stakeholders to drive the execution of multiple

business plans and technologies.

• Work closely with Product, Design, and Marketing to conceive features, plan projects, and build roadmaps
• Prior experience with scalable Architecture managing team of minimum 5 engineers and

coaching, mentoring while maintaining a role with code development.

• Proven history of contributing to product strategy and shipping products with multi-functional teams.
• Highly involved in recruitment while building team also leading app development for both platforms.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Minimum Qualification:

• Total of 10+ years experience
• Hands-on working on Java ( {Language understanding - Java 8, Lambdas, Collections,

• Worked on REST frameworks/libraries like Spring MVC, Spring Boot, Dropwizard,  REST popular frameworks & libraries}, JVM, GC tuning, performance tuning) Express etc

• Experience in Microservices architecture is a must.
• Working on public clouds such as AWS, GCP, Azure etc is preferred
• Worked on Relational data stores viz. MySQL, Oracle, or Postgres.
• Worked on Non-relational data stores viz. Cassandra, HBase, Couchbase, MongoDB, etc
• Worked on caching infra viz. Redis, Memcached, Aerospike, Riak, etc
• Worked on Queueing infra viz. Kafka, RabbitMQ, ActiveMQ etc

Job Brief:

We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.

Job Location:

Pune.

Job Description:

• Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
• Experience interacting with customer.
• Excellent communication.
• Hands-on in creating and managing Jenkins job, Groovy scripting.
• Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
• Experience in Maven.
• Experience in scripting languages like Bash, Powershell, Python.
• Experience in automation tools like Terraform, Ansible, Chef, Puppet.
• Excellent troubleshooting skills.
• Experience in Docker and Kuberneties with creating docker files.
• Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.

•  5-10 years of experience in building API services using NodeJS Express and related frameworks
• Expert level understanding of NodeJS asynchronous runtime
• Expert level understanding of Javascript concepts on callbacks and closures
• Experience with Postgres, NoSQL, Redis, and Firebase real-time database
• Experience with AWS services like Elastic Beanstalk, Cloudfront, S3, EC2, Lambda, API Gateway, SQS, etc
• Understanding of patterns and techniques for building scalable back-end infrastructure including caching, rate limiting, authentication, and authorization schemes.
• Experience in building highly scalable and high throughput services with millisecond response times
• Experience working in a collaborative team environment
• Excellent communication & interpersonal skills
• Willingness to learn and pick up new technology along with patience to mentor

Bonus skills – 

• Experience with Elastic Search, Puppeteer
• Experience writing unit test