AI Automation & Web Systems Specialist

Supercharge Your Career as a AI DevOps Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• AWS, Azure, or GCP
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

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 

1. Node / Deno / bun - Express / NEST JS 
2. Language : Typescript / Python / Rust / 
3. REST / GRAPHQL 
4. SOLID Design Principles
5. Storage (mongodb/ Object Storage / postgres ) 
6. Caching ( Redis / In memory Data grid )
7. Pub sub (KAFKA / SQS / SNS / Event bridge / RabbitMQ) 
8. Container Technology ( Docker / Kubernetes )  
9. Cloud ( azure , aws , openshift ) 
10. GITOPS 
11. 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 

Company Overview 

Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge. 

Position Overview 

We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability. 

Key Responsibilities 

• Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices. 
• Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency. 
• Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users. 
• Implement and manage CI/CD pipelines to automate software delivery and ensure code quality. 
• Manage and configure cloud-based infrastructure services to optimize performance and cost. 
• Collaborate with development teams to design and implement scalable, reliable, and secure applications. 
• Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues. 
• Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data. 
• Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability. 
• Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability. 

Qualifications 

• Bachelor's degree in Computer Science, Engineering, or related field 
• Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role 
• Strong understanding of cloud computing principles and experience with AWS 
• Experience of building and supporting complex CI/CD pipelines using Github 
• Experience of building and supporting infrastructure as a code using Terraform 
• Proficiency in scripting and automating tools 
• Solid understanding of networking concepts and protocols 
• Understanding of security best practices and experience implementing security controls in cloud environments 
• Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage. 

DevOps Lead Engineer

We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.

Essential Requirements (must have):

• Bachelor's degree preferable in Engineering.

• Solid 5+ experience with AWS, DevOps, and related technologies

Skills Required:

Cloud Performance Engineering

• Performance scaling in a Micro-Services environment

• Horizontal scaling architecture

• Containerization (such as Dockers) & Deployment

• Container Orchestration (such as Kubernetes) & Scaling

DevOps Automation

• End to end release automation.

• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.

• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.

• Strong scripting knowledge

• Strong analytical and problem-solving skills.

• Cloud and On-prem deployments

Infrastructure Design & Provisioning

• Infra provisioning.

• Infrastructure Sizing

• Infra Cost Optimization

• Infra security

• Infra monitoring & site reliability.

Job Responsibilities:

• Responsible for creating software deployment strategies that are essential for the successful

deployment of software in the work environment and provide stable environment for delivery of

quality.

• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing

automation systems that help to execute business web and data infrastructure platforms.

• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,

and maintaining configuration management.

• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are

accountable for conducting training sessions for the juniors in the team, mentoring, career

support. They are also answerable for the architecture and technical leadership of the complete

DevOps infrastructure.

DevOps Engineer (Automation) 

ABOUT US

Established in 2009, Ashnik is a leading open-source solutions and consulting company in South East Asia and India, headquartered in Singapore. We enable digital transformation for large enterprises through our design, architecting, and solution skills. Over 100 large enterprises in the region have acknowledged our expertise in delivering solutions using key open-source technologies. Our offerings form critical part of Digital transformation, Big Data platform, Cloud and Web acceleration and IT modernization. We represent EDB, Pentaho, Docker, Couchbase, MongoDB, Elastic, NGINX, Sysdig, Redis Labs, Confluent, and HashiCorp as their key partners in the region. Our team members bring decades of experience in delivering confidence to enterprises in adopting open source software and are known for their thought leadership.

LOCATION:  Mumbai

THE POSITION

Ashnik is looking for talented and passionate Technical consultant to be part of the training team and work with customers on DevOps Solution. You will be responsible for implementation and consultations related work for customers across SEA and India. We are looking for personnel with personal qualities like -

• Passion for working for different customers and different environments.
• Excellent communication and articulation skills
• Aptitude for learning new technology and willingness to understand technologies which he/she is not directly working on.
• Willingness to travel within and outside the country.
• Ability to independently work at the customer site and navigate through different teams.

RESPONSIBILITIES

                     First 2 months:

• Get an in-depth understanding of Containers, Kubernetes, CI/CD, IaC.
• Get hands-on experience with various technologies of Mirantis Kubernetes Engine, Terraform, Vault, Sysdig

After 2 months: The ideal candidate can will ensure the following outcomes from every client deployment:

• Utilize various open source technologies and tools to orchestrate solutions.
• Write scripts and automation using Perl/Python/Groovy/Java/Bash
• Build independent tools and solutions to effectively scale the infrastructure.
• Will be involved in automation using CI/CD/DevOps concepts.
• Be able to document procedures for building and deploying.
• Build independent tools and solutions to effectively scale the infrastructure.
• Work on a cloud-based infrastructure spanning Amazon Web Services and Microsoft Azure
• Work with pre-sales and sales team to help customers during their evaluation of Terraform, Vault and other open source technologies.
• Conduct workshops for customers as needed for technical hand-holding and technical handover.

SKILLS AND EXPERIENCE

• Graduate/Post Graduate in any technology.
• Hands on experience in Terraform, AWS Cloud Formation, Ansible, Jenkins, Docker, Git, Jira etc
• Hands on experience at least in one scripting language like Perl/Python/Groovy/Bash
• Knowledge of Java/JVM based languages.
• Experience in Jenkins maintenance and scalability, designing and implementing advanced automation pipelines with Jenkins.
• Experience with a repository manager like JFrog Artifactory
• Strong background in git, Github/Bitbucket, and code branching/merging strategies
• Ability to understand and make trade-offs among different DevOps tools.

ADDITIONAL SKILLS

• Experience with Kubernetes, AWS, Google Cloud and/or Azure is a strong plus
• Some experience with secrets/key management preferably with HashiCorp Vault
• Experience using monitoring solutions, i.e. Datadog, Prometheus, ELK Stack, NewRelic, Nagios etc