Devops Engineer

Primary Skills: 

Observability - ELK (Elactic/Kibana), Prometheus, Grafana, PromQL

Software and automation - Java, Python/Shell/Bash, Rest-SOAP API, docker containerization, Kubernetes, Kafka

Reliability and DR engineering - Distributed architecture and distributed system fundamentals, micro services, and event-driven architecture.

Cross-team coordination, incident triage and resolution, leadership and stakeholder management.

Secondary Skills:

Lang-chain, Langraph, RAG, MCP

Experience with working on LLM's and integrating with the existing applications

Python - FastAPI

Cache - Redis

Program Details:

Design, build, and ship LLM-powered and agentic product features that enhance the team efforts and outcomes.

Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.

Work on integrating the existing AI tools and should know major AI frameworks and libraries. 

Own service reliability and operational governance by defining SLA's, managing error budgets, and reporting reliability (MTTD, MTTR) to leadership for prioritization, risk decisions and planning.

Architect and continuously optimize the observability of platform using Kibana/Elastic (ELF) along with other observability tools like Prometheus, Grafana (dashboards, metrics, alert lifecycle), improving detection quality, reducing noise/toil, and enabling faster triage and measurable uptime improvements.

Engineer advance alerting and automation capabilities with Kibana alerting and anomaly detections and integrating response workflows (routing, runbooks, remediation scripts) to standardize on-call execution and accelerate restoration of services.

Lead incident response for customer-impacting issues across teams-coordination, communications, service restoration, and blameless RCA-then corrective actions that prevent recurrence and reduce operational risk.

Design, automate and validate Disaster Recovery and failover for critical services/journeys (RTO/RPO alignment, DR Drills), ensuring resiliency under failure scenarios and improving recovery.

Consult and partner with application teams by providing production readiness inputs (Resiliency patterns, availability, performance/capacity considerations) and driving platform enhancements that improve stability while optimizing infrastructure and observability spend.

If you are interested for this role, kindly acknowledge this email with your interest.

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

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Open Roles: 1

Start: Immediate

Why this role exists

Most engineering teams choose between speed and stability.

We need both.

Today:

• Deployments carry risk
• Cloud costs are higher than they should be
• Compliance is reactive, not built-in

This role exists to build a platform where:

• We can deploy fast without breaking production
• We can scale without runaway cost
• We can pass enterprise InfoSec reviews without firefighting

What you’ll do

You will not just manage infrastructure.

You will build the platform that engineering runs on.

1. Drive cloud cost efficiency

• Reduce Azure compute spend by 40%
• Implement:
• Reserved Instances / savings plans
• Right-sizing of workloads
• Scheduling for non-critical workloads
• Continuously monitor and optimize cost vs performance

2. Build zero-downtime deployment systems

• Ship a deployment pipeline that supports:
• 5+ production deployments per week
• Zero customer-visible downtime
• Implement:
• Blue-green / canary deployments
• Automated health checks
• Safe rollout strategies

3. Enable fast and safe releases

• Reduce time-to-launch significantly
• Ensure:
• High reliability in every release
• Ability to rollback instantly if something breaks
• Create systems where:
• Scaling up is seamless when things go right
• Failures are contained when they don’t

4. Build disaster recovery and compliance readiness

• Create DR/BCP systems that pass enterprise audits from:
• HDFC Life, SBI Life
• Ensure:
• Backup and recovery processes are defined and tested
• Failover strategies are documented and executable
• Build compliance as part of the system, not an afterthought

5. Embed security into the pipeline

• Integrate:
• SAST (Static Application Security Testing)
• DAST (Dynamic Application Security Testing)
• SCA (Software Composition Analysis)
• Secret scanning
• Container scanning
• IaC scanning
• Ensure vulnerabilities are caught before deployment

6. Enforce policy-as-code

• Implement:
• OPA / Gatekeeper
• Azure Policy
• Prevent non-compliant infrastructure from being deployed
• Ensure consistency across environments

7. Build a scalable platform layer

• Create systems that:
• Support increasing deployment frequency
• Maintain reliability under scale
• Work closely with backend and SRE teams to:
• Improve system stability
• Reduce operational overhead

What success looks like

• Cloud costs reduce by ≥ 40%
• Deployments are:
• Frequent
• Safe
• Invisible to customers
• Rollbacks are instant and reliable
• DR/BCP passes enterprise audits in the first attempt
• Security is embedded in the pipeline, not patched later
• Engineering teams ship faster with confidence

Who you are

• You have 2-5 years of experience in DevOps / Platform Engineering
• You have worked with:
• Cloud platforms (Azure preferred)
• CI/CD systems
• Infrastructure as Code
• You think in:
• Systems
• Trade-offs (speed vs reliability vs cost)
• You are comfortable owning:
• Production infrastructure
• Deployment systems

What will make you stand out

• Experience with:
• High-frequency deployment systems
• Cost optimization at scale
• Security-first pipelines
• Strong understanding of:
• Kubernetes / container orchestration
• Monitoring and observability
• Distributed system reliability
• Experience passing enterprise security/compliance audits

Why join

• You will define how engineering ships and scales
• Your work directly impacts:
• Reliability
• Cost
• Deployment velocity
• You will build a platform that moves from:
• Fragile → predictable and scalable

What this role is not

• Not manual infra management
• Not reactive firefighting
• Not limited to CI/CD maintenance

What this role is

• A builder of deployment systems
• A driver of cost efficiency
• A guardian of reliability and compliance

One question to self-evaluate

Can you build a platform where we deploy faster, spend less, and never break production?

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 

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
• Implementation of installations of the solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

Role Introduction

• This role involves guiding the DevOps team towards successful delivery of Governance and

toolchain initiatives by removing manual tasks.

• Operate toolchain applications to empower engineering teams by providing, reliable, governed

self-service tools and supporting their adoption

• Driving good practice for consumption and utilisation of the engineering toolchain, with a focus

on DevOps practices

• Drive good governance for cloud service consumption

• Involves working in a collaborative environment and focus on leading team and providing

technical leadership to team members.

• Involves setting up process and improvements for teams on supporting various DevOps tooling

and governing the tooling.

• Co-ordinating with multiple teams within organization

• Lead on handovers from architecture teams to support major project rollouts which require the

Toolchain governance DevOps team to operationally support tooling

What you will do

• Identify and implement best practices, process improvement and automation initiatives for

improvement towards quicker delivery by removing manual tasks

• Ensure best practices and process are documented for reusability and keeping up-to date on

good practices and standards.

• Re-usable automation and compliance service, tools and processes

• Support and management of toolchain, toolchain changes and selection

• Identify and implement risk mitigation plans, avoid escalations, resolve blockers for teams.

Toolchain governance will involve operating and responding to alerts, enforcing good tooling

governance by driving automation, remediating technical debt and ensuring the latest tools

are utilised and on the latest versions

• Triage product pipelines, performance issues, SLA/SLO breaches, service unavailable along

with ancillary actions such as providing access to logs, tools, environments.

• Involve in initial / detailed estimates during roadmap planning or feature

estimation/planning of any automation identified for a given toolset.

• Develop, refine, and tune integrations between various tools

• Discuss with Product Owner/team on any challenges from implementation, deployment

perspective and assist in arriving probable solution and escalate any risks to get them

resolved w.r.t DevOps toolchain.

• In consultation with Head of DevOps and other stake holders, prioritization of items, item-

task breakdown; accountable for squad deliverables for sprint

• Involve in reviewing current components and plan for upgrade and ensure its communicated

to wider audience within Organization

• Involve in reviewing access / role and enhance and automate provisioning.

• Identify and encourage areas for growth and improvement within the team e.g conducts

regular 1-2-1’s with squad members to provide support, mentoring and goal setting

• Involve in performance management ,rewards and recognition of team members, Involve in

hiring process.• Plan for upskill of team to know about tools and perform tasks. Ensure quicker onboarding

of new joiners/freshers to team to be productive.

• Review ticket metrics to measure the health of the project including SLAs and plan for

improvement.

• Requirement for on call for critical incidents that happen Out of Hours, based on tooling SLA.

This may include planning standby schedule for squad, carrying out retrospective for every

callout and reviewing SLIs/SLOs.

• Owns the tech/repair debt, risk and compliance for the tooling with respect to

infrastructure, pipelines, access etc

• Track optimum utilization of resources and monitor/track the delivery schedule

• Review solutions designs with the Architects / Principal DevOps Engineers as required

• Provide monthly reporting which align to DevOps Tooling KPIs

What you will have

• Candidate should have 8+ years of experience and Hands-on DevOps experience and

experience in team management.

• Strong communication and interpersonal skills, Team player

• Good working experience of CI/CD tools like Jenkins, SonarQube, FOSSA, Harness, Jira, JSM,

ServiceNow etc.

• Good hands on knowledge of AWS Services like EC2, ECS, S3, IAM, SNS, SQS, VPC, Lambda,

API Gateway, Cloud Watch, Cloud Formation etc.

• Experience in operating and governing DevOps Toolchain

• Experience in operational monitoring, alerting and identifying and delivering on both repair

and technical debt

• Experience and background in ITIL/ITSM processes. The candidate will ensure development

of the appropriate (ITSM) model and processes, based on the ITIL Service Management

framework. This includes the strategic, design, transition, and operation services and

continuous service improvement

• Provide ITSM leadership experience and coaching processes

• Experience on various tools like Jenkins, Harness, Fossa,

• Experience of hosting and managing applications on AWS/AZURE•

• Experience in CI/CD pipeline (Jenkins build pipelines)

• Experience in containerization (Docker/Kubernetes)

• Experience in any programming language (Node.js or Python is preferred)

• Experience in Architecting and supporting cloud based products will be a plus

• Experience in PowerShell & Bash will be a plus

• Able to self manage multiple concurrent small projects, including managing priorities

between projects

• Able to quickly learn new tools

• Should be able to mentor/drive junior team members to achieve desired outcome of

roadmap-

• Ability to analyse information to identify problems and issues, and make effective decisions

within short span

• Excellent problem solving and critical thinking

• Experience in integrating various components including unit testing / CI/CD configuration.

• Experience to review current toolset and plan for upgrade.

• Experience with Agile framework/Jira/JSM tool.• Good communication skills and ability to communicate/work independently with external

teams.

• Highly motivated, able to work proficiently both independently and in a team environment

Good knowledge and experience with security constructs –

• Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
• Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
• Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
• Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
•             Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
• Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.

• Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
• •             Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
• •             Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
• •             Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.

• Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar

• Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
• Automate the provisioning of environments
• Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
• Manage a Continuous Integration and Deployment environment.
• Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
• Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
• Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.

Technical Skills

• Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
• Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
• Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
• Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
• Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).

Qualifications:

• B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
• Minimum 60% in Graduation and Post-Graduation.
• Good verbal and written communication skills