
Job Description
Position - SRE developer / DevOps Engineer
Location - Mumbai
Experience- 3- 10 years
About HaystackAnalytics:
HaystackAnalytics is a company working in deep technology of genomics, computing and data science for creating the first of its kind clinical reporting engine in Healthcare. We are a new but well funded company with a tremendous amount of pedigree in the team (IIT Founders, IIT & IIM core team). Some of the technologies we have created are a global first in infectious disease and chronic diagnostics. As a product company creating a huge amount of IP, our Technology and R&D team are our crown jewels. With early success of our products in India, we are now expanding to take our products to international shores.
Inviting Passionate Engineers to join a new age enterprise:
At HaystackAnalytics, we rely on our dynamic team of engineers to solve the many challenges and puzzles that come with our rapidly evolving stack that deals with Healthcare and Genomics.
We’re looking for full stack engineers who are passionate problem solvers, ready to work with new technologies and architectures in a forward-thinking organization that’s always pushing boundaries. Here, you will take complete, end-to-end ownership of projects across the entire stack.
Our ideal candidate has experience building enterprise products and has understanding and experience of working with new age front end technologies, web frameworks, APIs, databases, distributed computing,back end languages, caching, security, message based architectures et al.
You’ll be joining a small team working at the forefront of new technology, solving the challenges that impact both the front end and back end architecture, and ultimately, delivering amazing global user experiences.
Objectives of this Role:
- Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
- Ideate and develop new product features in collaboration with domain experts in healthcare and genomics
- Develop state of the art enterprise standard front-end and backend services
- Develop cloud platform services based on container orchestration platform
- Continuously embrace automation for repetitive tasks
- Ensure application performance, uptime, and scale, maintaining high standards of code quality by using clean coding principles and solid design patterns
- Build robust tech modules that are Unit Testable, Automating recurring tasks and processes
- Engage effectively with team members and collaborate to upskill and unblock each other
Frontend Skills
- HTML 5
- CSS framework ( LESS/ SASS )
- Es6 / Typescript
- Electron app / TAURI
- Component library ( Webcomponents / radix / material )
- CSS ( tailwind)
- State management --> Redux / Zustand / Recoil
- Build tools - > (webpack/vite/Parcel/turborepo)
- Frameworks -- > Next JS /
- Design patterns
- Test Automation Frameworks (cypress playwright etc )
- Functional Programming concepts
- Scripting ( bash , python )
Backend Skills
- Node / Deno / bun - Express / NEST JS
- Language : Typescript / Python / Rust /
- REST / GRAPHQL
- SOLID Design Principles
- Storage (mongodb/ Object Storage / postgres )
- Caching ( Redis / In memory Data grid )
- Pub sub (KAFKA / SQS / SNS / Event bridge / RabbitMQ)
- Container Technology ( Docker / Kubernetes )
- Cloud ( azure , aws , openshift )
- GITOPS
- Automation ( terraform , Serverless )
Other Skills
- Innovation and thought leadership
- UI - UX design skills
- Interest in learning new tools, languages, workflows, and philosophies to grow
- Communication

Similar jobs
- 3+ years of relevant experience
- 2+ years experience with AWS (EC2, ECS, RDS, Elastic Cache, etc)
- Well versed with maintaining infrastructure as code (Terraform, Cloudformation, etc)
- Experience in setting CI/CD pipelines from scratch
- Knowledge of setting up and securing networks (VPN, Intranet, VPC, Peering, etc)
- Understanding of common security issues
Key Responsibilities:
- Develop and Maintain CI/CD Pipelines: Design, implement, and manage CI/CD pipelines using GitOps practices.
- Kubernetes Management: Deploy, manage, and troubleshoot Kubernetes clusters to ensure high availability and scalability of applications.
- Cloud Infrastructure: Design, deploy, and manage cloud infrastructure on AWS, utilizing services such as EC2, S3, RDS, Lambda, and others.
- Infrastructure as Code: Implement and manage infrastructure using IaC tools like Terraform, CloudFormation, or similar.
- Monitoring and Logging: Set up and manage monitoring, logging, and alerting systems to ensure the health and performance of the infrastructure.
- Automation: Identify and automate repetitive tasks to improve efficiency and reliability.
- Security: Implement security best practices and ensure compliance with industry standards.
- Collaboration: Work closely with development, QA, and operations teams to ensure seamless integration and delivery of products.
Required Skills and Qualifications:
- Experience: 2-5 years of experience in a DevOps role.
- AWS: In-depth knowledge of AWS services and solutions.
- CI/CD Tools: Experience with CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar.
- GitOps Expertise: Proficient in GitOps methodologies and tools.
- Kubernetes: Strong hands-on experience with Kubernetes and container orchestration.
- Scripting and Automation: Proficient in scripting languages such as Bash, Python, or similar.
- Infrastructure as Code (IaC): Hands-on experience with IaC tools like Terraform, CloudFormation, or similar.
- Monitoring Tools: Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, or similar.
- Version Control: Strong understanding of version control systems, primarily Git.
- Problem-Solving: Excellent problem-solving and debugging skills.
- Collaboration: Ability to work in a fast-paced, collaborative environment.
- Education: Bachelor’s or master’s degree in computer science or a related field.
About BootLabs
https://www.google.com/url?q=https://www.bootlabs.in/&sa=D&source=calendar&ust=1667803146567128&usg=AOvVaw1r5g0R_vYM07k6qpoNvvh6" target="_blank">https://www.bootlabs.in/
-We are a Boutique Tech Consulting partner, specializing in Cloud Native Solutions.
-We are obsessed with anything “CLOUD”. Our goal is to seamlessly automate the development lifecycle, and modernize infrastructure and its associated applications.
-With a product mindset, we enable start-ups and enterprises on the cloud
transformation, cloud migration, end-to-end automation and managed cloud services.
-We are eager to research, discover, automate, adapt, empower and deliver quality solutions on time.
-We are passionate about customer success. With the right blend of experience and exuberant youth in our in-house team, we have significantly impacted customers.
Technical Skills:
• Expertise in any one hyper scaler (AWS/AZURE/GCP), including basic services like networking,
data and workload management.
- AWS
Networking: VPC, VPC Peering, Transit Gateway, Route Tables, Security Groups, etc.
Data: RDS, DynamoDB, Elastic Search
Workload: EC2, EKS, Lambda, etc.
- Azure
Data: Azure MySQL, Azure MSSQL, etc.
Workload: AKS, Virtual Machines, Azure Functions
- GCP
Data: Cloud Storage, DataFlow, Cloud SQL, Firestore, BigTable, BigQuery
Workload: GKE, Instances, App Engine, Batch, etc.
• Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup,
templating and configuration.
• Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like pod, deployment,
networking, service mesh. Used any package manager like helm.
• Scripting experience (Bash/python), automation in pipelines when required, system service.
• Infrastructure automation (Terraform/pulumi/cloud formation), write modules, setup pipeline and version the code.
Optional:
• Experience in any programming language is not required but is appreciated.
• Good experience in GIT, SVN or any other code management tool is required.
• DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artifacts, infrastructure and code.
• Observability tools (Opensource: Prometheus, Elasticsearch, Open Telemetry; Paid: Datadog,
24/7, etc)
The DevOps Engineer's core responsibilities include automated configuration and management
of infrastructure, continuous integration and delivery of distributed systems at scale in a Hybrid
environment.
Must-Have:
● You have 4-10 years of experience in DevOps
● You have experience in managing IT infrastructure at scale
● You have experience in automation of deployment of distributed systems and in
infrastructure provisioning at scale.
● You have in-depth hands-on experience on Linux and Linux-based systems, Linux
scripting
● You have experience in Server hardware, Networking, firewalls
● You have experience in source code management, configuration management,
continuous integration, continuous testing, continuous monitoring
● You have experience with CI/CD and related tools
* You have experience with Monitoring tools like ELK, Grafana, Prometheus
● You have experience with containerization, container orchestration, management
● Have a penchant for solving complex and interesting problems.
● Worked in startup-like environments with high levels of ownership and commitment.
● BTech, MTech or Ph.D. in Computer Science or related Technical Discipline
- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Being involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Ensuring reliable operation of CI/ CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creating Docker files
- Creating Bash/ Python scripts for automation.
- Performing root cause analysis for production errors.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
- Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
- Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
- Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
- Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
- Design and implement DevOps processes for new projects following the department's objectives of automation.
- Collaborate on projects with development teams to provide recommendations, support and guidance.
- Work towards full automation, monitoring, virtualization and containerization.
- Create and maintain tools for deployment, monitoring and operations.
- Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
- Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
- Maintain 24/7 availability for responsible systems and be open to on-call rotation.
• Bachelor or Master Degree in Computer Science, Software Engineering from a reputed
University.
• 5 - 8 Years of experience in building scalable, secure and compliant systems.
• More than 2 years of experience in working with GCP deployment for millions of daily visitors
• 5+ years hosting experience in a large heavy-traffic environment
• 5+ years production application support experience in a high uptime environment
• Software development and monitoring knowledge with Automated builds
• Technology:
o Cloud: AWS or Google Cloud
o Source Control: Gitlab or Bitbucket or Github
o Container Concepts: Docker, Microservices
o Continuous Integration: Jenkins, Bamboos
o Infrastructure Automation: Puppet, Chef or Ansible
o Deployment Automation: Jenkins, VSTS or Octopus Deploy
o Orchestration: Kubernets, Mesos, Swarm
o Automation: Node JS or Python
o Linux environment network administration, DNS, firewall and security management
• Ability to be adapt to the startup culture, handle multiple competing priorities, meet
deadlines and troubleshoot problems.


