
Roles and Responsibilities:
- Strong experience with programming microcontrollers like Arduino, ESP32, and ESP8266.
- Experience with Embedded C/C++.
- Experience with Raspberry Pi, Python, and OpenCV.
- Experience with Low power Devices would be preferred
- Knowledge about communication protocols (UART, I2C, etc.)
- Experience with Wi-Fi, LoRa, GSM, M2M, SImcom, and Quactel Modules.
- Experience with 3d modeling (preferred).
- Experience with 3d printers (preferred).
- Experience with Hardware design and knowledge of basic electronics.
- Experience with Software will be preferred.ss
Detailed Job role (daily basis) done by the IOT developer.
· Design hardware that meets the needs of the application.
· Support for current hardware, testing, and bug-fixing.
· Create, maintain, and document microcontroller code.
· prototyping, testing, and soldering
· Making 3D/CAD models for PCBs.

About BDS Services Pvt Ltd (formerly Balaji Data Solutions)
About
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Senior Developer (In-Person | Delhi)
💼 Experience: 3+ Years
💰 Salary: ₹30,000 – ₹50,000/month (in-hand)
📍 Location: On-site (Fixed Shift)
Key Responsibilities
- Develop and maintain scalable web applications (frontend & backend)
- Work with technologies like React/Angular/Vue, Node.js/Python/Java, and SQL/MongoDB
- Integrate APIs (REST/GraphQL) and manage code with Git
- Collaborate with team & clients; manage timelines and delivery
Required Skills
- 3+ years in full-stack development
- Expert in JavaScript and Python
- Strong problem-solving and project management skills
- Familiar with cloud platforms (AWS, GCP, Azure) – a plus
General Description:Owns all technical aspects of software development for assigned applications
Participates in the design and development of systems & application programs
Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation
Required Skills:
In depth experience configuring and administering EKS clusters in AWS.
In depth experience in configuring **Splunk SaaS** in AWS environments especially in **EKS**
In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**
In depth knowledge of observability concepts and strong troubleshooting experience.
Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.
Experience in **Terraform** and Infrastructure as code.
Experience in **Helm**Strong scripting skills in Shell and/or python.
Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.
Must have a good understanding of cloud concepts (Storage /compute/network).
Experience collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.
Experience with Git and GitHub.Experience with code build and deployment using GitHub actions, and Artifact Registry.
Proficient in developing and maintaining technical documentation, ADRs, and runbooks.
Position Overview: We are seeking a talented and experienced Cloud Engineer specialized in AWS cloud services to join our dynamic team. The ideal candidate will have a strong background in AWS infrastructure and services, including EC2, Elastic Load Balancing (ELB), Auto Scaling, S3, VPC, RDS, CloudFormation, CloudFront, Route 53, AWS Certificate Manager (ACM), and Terraform for Infrastructure as Code (IaC). Experience with other AWS services is a plus.
Responsibilities:
• Design, deploy, and maintain AWS infrastructure solutions, ensuring scalability, reliability, and security.
• Configure and manage EC2 instances to meet application requirements.
• Implement and manage Elastic Load Balancers (ELB) to distribute incoming traffic across multiple instances.
• Set up and manage AWS Auto Scaling to dynamically adjust resources based on demand.
• Configure and maintain VPCs, including subnets, route tables, and security groups, to control network traffic.
• Deploy and manage AWS CloudFormation and Terraform templates to automate infrastructure provisioning using Infrastructure as Code (IaC) principles.
• Implement and monitor S3 storage solutions for secure and scalable data storage
• Set up and manage CloudFront distributions for content delivery with low latency and high transfer speeds.
• Configure Route 53 for domain management, DNS routing, and failover configurations.
• Manage AWS Certificate Manager (ACM) for provisioning, managing, and deploying SSL/TLS certificates.
• Collaborate with cross-functional teams to understand business requirements and provide effective cloud solutions.
• Stay updated with the latest AWS technologies and best practices to drive continuous improvement.
Qualifications:
• Bachelor's degree in computer science, Information Technology, or a related field.
• Minimum of 2 years of relevant experience in designing, deploying, and managing AWS cloud solutions.
• Strong proficiency in AWS services such as EC2, ELB, Auto Scaling, VPC, S3, RDS, and CloudFormation.
• Experience with other AWS services such as Lambda, ECS, EKS, and DynamoDB is a plus.
• Solid understanding of cloud computing principles, including IaaS, PaaS, and SaaS.
• Excellent problem-solving skills and the ability to troubleshoot complex issues in a cloud environment.
• Strong communication skills with the ability to collaborate effectively with cross-functional teams.
• Relevant AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, etc.) are highly desirable.
Additional Information:
• We value creativity, innovation, and a proactive approach to problem-solving.
• We offer a collaborative and supportive work environment where your ideas and contributions are valued.
• Opportunities for professional growth and development. Someshwara Software Pvt Ltd is an equal opportunity employer.
We celebrate diversity and are dedicated to creating an inclusive environment for all employees.
What you’ll be doing at Novo:
● Systems thinking
● Creating best practices, templates, and automation for build, test, integration and
deployment pipelines on multiple projects
● Designing and developing tools for easily creating and managing dev/test infrastructure
and services in AWS cloud
● Providing expertise and guidance on CI/CD, Github, and other development tools via
containerization
● Monitoring and support systems in Dev, UAT and production environments
● Building mock services and production-like data sources for use in development and
testing
● Managing Github integrations, feature flag systems, code coverage tools, and other
development & monitoring tools tools
● Participating in support rotations to help troubleshoot to infrastructure issues
Stacks you eat everyday ( For Devops Engineer )
● Creating and working with containers, as well as using container orchestration tools
(Kubernetes / Docker)
● AWS: S3, EKS, EC2, RDS, Route53, VPC etc.
● Fair understanding of Linux
● Good knowledge of CI/CD : Jenkins / CircleCI / Github Actions
● Basic level of monitoring
● Support for Deployment along with various Web Servers and Linux environments , both
backend and frontend.
Candidate must have a minimum of 8+ years of IT experience
IST time zone.
candidates should have hands-on experience in
DevOps (GitLab, Artifactory, SonarQube, AquaSec, Terraform & Docker / K8")
Thanks & Regards,
Anitha. K
TAG Specialist
About Hive
Hive is the leading provider of cloud-based AI solutions for content understanding,
trusted by the world’s largest, fastest growing, and most innovative organizations. The
company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
About Role
Our unique machine learning needs led us to open our own data centers, with an
emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is
able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.
Responsibilities
● Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
● Improve workflows of developer, data, and machine learning teams
● Manage integration and deployment tooling
● Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure
● Manage a diverse array of technology platforms, following best practices and
procedures
● Participate in on-call rotation and root cause analysis
Requirements
● Minimum 5 - 10 years of previous experience working directly with Software
Engineering teams as a developer, DevOps Engineer, or Site Reliability
Engineer.
● Experience with infrastructure as a service, distributed systems, and software design at a high-level.
● Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment.
● Able to debug, optimize, and automate routine tasks
● Able to multitask, prioritize, and manage time efficiently independently
● Can communicate effectively across teams and management levels
● Degree in computer science, or similar, is an added plus!
Technology Stack
● Operating Systems - Linux/Debian Family/Ubuntu
● Configuration Management - Chef
● Containerization - Docker
● Container Orchestrators - Mesosphere/Kubernetes
● Scripting Languages - Python/Ruby/Node/Bash
● CI/CD Tools - Jenkins
● Network hardware - Arista/Cisco/Fortinet
● Hardware - HP/SuperMicro
● Storage - Ceph, S3
● Database - Scylla, Postgres, Pivotal GreenPlum
● Message Brokers: RabbitMQ
● Logging/Search - ELK Stack
● AWS: VPC/EC2/IAM/S3
● Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems,
RAID, distributed file systems, NFS / iSCSI / CIFS
Who we are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the
development of the company.
Thank you for your interest in Hive and we hope to meet you soon
Sr Enterprise Software Architect with Cloud skills and preferably having either a GCP Associate or Professional Certification.
The requirement is to understand existing Enterprise Applications and help design a solution to enable Load balancing & Auto Scaling the application to meet certain KPIs.
Should be well versed with
- Designing and Deploying Large enterprise software in Cloud
- Understands Cloud fundamentals
- DevOps & Kubernetes
- Experience deploying cloud applications and monitoring operations
- Preferably Google Cloud
- Associate or Professional Certification.
- Develop and Deploy Software:
- Architect and create an effective build and release process using industry best practices and tools
- Create and manage build scripts to deploy software in a multi-cloud environment
- Look for opportunities to automate as much of the deployment process as possible to provide for repeatability, auditability, scalability and build in process enforcement
- Manage Release Schedule:
- Act as a “gate keeper” for all releases into production
- Work closely with business stakeholders, development managers and developers to prepare a release schedule
- Help prioritize deployment requests for version upgrades, patches and hot-fixes
- Continuous Delivery of Software:
- Implement Continuous Integration (CI) practices to drive development teams to implement smaller changes and commit code to the version control repo frequently
- Implement Continuous Development (CD) practices that automates deployment of the application to several environments – Dev, Test and Production
- Implement Continuous Testing (functional and non-functional) to execute tests in the CI/CD pipeline
- Manage Version Control:
- Define and implement branching policies to efficiently manage source-code
- Implement business rules as a part of source control standards
- Resolve Software Issues:
- Assist technical support and development teams to troubleshoot issues and identify areas that need improvement
- Address deployment related issues
- Maintain Release Documentation:
- Maintain release notes (features available in stable versions and known issues) and other documents for both internal and external end users
Position: DevOps Lead
Job Description
● Research, evangelize and implement best practices and tools for GitOps, DevOps, continuous integration, build automation, deployment automation, configuration management, infrastructure as code.
● Develop software solutions to support DevOps tooling; including investigation of bug fixes, feature enhancements, and software/tools updates
● Participate in the full systems life cycle with solution design, development, implementation, and product support using Scrum and/or other Agile practices
● Evaluating, implementing, and streamlining DevOps practices.
● Design and drive the implementation of fully automated CI/CD pipelines.
● Designing and creating Cloud services and architecture for highly available and scalable environments. Lead the monitoring, debugging, and enhancing pipelines for optimal operation and performance. Supervising, examining, and handling technical operations.
Qualifications
● 5 years of experience in managing application development, software delivery lifecycle, and/or infrastructure development and/or administration
● Experience with source code repository management tools, code merge and quality checks, continuous integration, and automated deployment & management using tools like Bitbucket, Git, Ansible, Terraform, Artifactory, Service Now, Sonarqube, Selenium.
● Minimum of 4 years of experience with approaches and tooling for automated build, delivery, and release of the software
● Experience and/or knowledge of CI/CD tools: Jenkins, Bitbucket Pipelines, Gitlab CI, GoCD.
● Experience with Linux systems: CentOS, RHEL, Ubuntu, Secure Linux... and Linux Administration.
● Minimum of 4 years experience with managing medium/large teams including progress monitoring and reporting
● Experience and/or knowledge of Docker, Cloud, and Orchestration: GCP, AWS, Kubernetes.
● Experience and/or knowledge of system monitoring, logging, high availability, redundancy, autoscaling, and failover.
● Experience automating manual and/or repetitive processes.
● Experience and/or knowledge with networking and load balancing: Nginx, Firewall, IP network

About the job
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
- 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary
- Work Remotely
- Health insurance
- Unlimited Time Off
- Support for continual learning (free books and online courses)
- Reimbursement for streaming services (think Netflix)
- Reimbursement for gym or physical activity of your choice
- Flex hours
- Leveling Up Opportunities
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

