Cloud Technical Architect

Job Title : DevOps Engineer

Experience : 3+ Years

Location : Mumbai

Employment Type : Full-time

Job Overview :

We’re looking for an experienced DevOps Engineer to design, build, and manage Kubernetes-based deployments for a microservices data discovery platform.

The ideal candidate has strong hands-on expertise with Helm, Docker, CI/CD pipelines, and cloud networking — and can handle complex deployments across on-prem, cloud, and air-gapped environments.

Mandatory Skills :

✅ Helm, Kubernetes, Docker

✅ Jenkins, ArgoCD, GitOps

✅ Cloud Networking (VPCs, bare metal vs. VMs)

✅ Storage (MinIO, Ceph, NFS, S3/EBS)

✅ Air-gapped & multi-tenant deployments

Key Responsibilities :

• Build and customize Helm charts from scratch.
• Implement CI/CD pipelines using Jenkins, ArgoCD, GitOps.
• Manage containerized deployments across on-prem/cloud setups.
• Work on air-gapped and restricted environments.
• Optimize for scalability, monitoring, and security (Prometheus, Grafana, RBAC, HPA).

Job Title : Senior DevOps Engineer

Location : Remote

Experience Level : 5+ Years

Role Overview :

We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.

Key Responsibilities:

Infrastructure Scalability & Reliability :

• Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
• Implement container orchestration using Kubernetes or Docker Compose.
• Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.

Deployment Automation :

• Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
• Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.

Monitoring & Observability :

• Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
• Establish centralized logging systems and create real-time dashboards for actionable insights.

Security & Compliance :

• Securely manage secrets using tools like HashiCorp Vault or Doppler.
• Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.

Collaboration & Team Enablement :

• Mentor and guide team members on DevOps best practices and workflows.
• Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.

Required Skills :

• Expertise in managing cloud platforms like AWS, GCP, or Azure.
• In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
• Advanced scripting capabilities in Python or Bash.
• Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
• Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
• Strong troubleshooting skills for debugging production systems and optimizing performance.

Preferred Qualifications :

• Experience in scaling AI or ML-based applications.
• Familiarity with distributed systems and microservices architecture.
• Understanding of agile methodologies and DevSecOps practices.
• Certifications in AWS, Azure, or Kubernetes.

What We Offer :

• Opportunity to work in a fast-paced AI startup environment.
• Flexible remote work culture.
• Competitive salary and equity options.
• Professional growth through challenging projects and learning opportunities.

Job Summary:

Seeking a seasoned SQL + ETL Developer with 4+ years of experience in managing large-scale datasets and cloud-based data pipelines. The ideal candidate is hands-on with MySQL, PySpark, AWS Glue, and ETL workflows, with proven expertise in AWS migration and performance optimization.

Key Responsibilities:

• Develop and optimize complex SQL queries and stored procedures to handle large datasets (100+ million records).
• Build and maintain scalable ETL pipelines using AWS Glue and PySpark.
• Work on data migration tasks in AWS environments.
• Monitor and improve database performance; automate key performance indicators and reports.
• Collaborate with cross-functional teams to support data integration and delivery requirements.
• Write shell scripts for automation and manage ETL jobs efficiently.

Required Skills:

• Strong experience with MySQL, complex SQL queries, and stored procedures.
• Hands-on experience with AWS Glue, PySpark, and ETL processes.
• Good understanding of AWS ecosystem and migration strategies.
• Proficiency in shell scripting.
• Strong communication and collaboration skills.

Nice to Have:

• Working knowledge of Python.
• Experience with AWS RDS.

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 –

Looking for an experienced candidate with strong development and programming experience, knowledge preferred-

• Cloud computing (i.e. Kubernetes, AWS, Google Cloud, Azure)
• Coming from a strong development background and has programming experience with Java and/or NodeJS (other programming languages such as Groovy/python are a big bonus)
• Proficient with Unix systems and bash
• Proficient with git/GitHub/GitLab/bitbucket

Desired skills-

• Docker
• Kubernetes
• Jenkins
• Experience in any scripting language (Phyton, Shell Scripting, Java Script)
• NGINX / Load Balancer
• Splunk / ETL tools

Hiring for a funded fintech startup based out of Bangalore!!!

Our Ideal Candidate

We are looking for a Senior DevOps engineer to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on-premise deployments.

Requirements

• 5-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
• Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
• Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
• Experience with middle-layer technologies including web servers (httpd, ningx), application servers (Jboss, Tomcat) and database systems (postgres, mysql)
• Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
• Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
• Experience supporting on-premise solutions as well as on AWS cloud
• Experience working with and supporting Spark-based applications on YARN
• Experience with one or more automation tools such as Ansible, Teraform, etc
• Experience working with CI/CD tools like Jenkins and various test report and coverage plugins
• Experience defining and automating the build, versioning and release processes for complex enterprise products
• Experience supporting clients remotely and on-site
• Experience working with and supporting Java- and Python-based tech stacks would be a plus

Desired Non-technical Requirements

• Very strong communication skills both written and verbal
• Strong desire to work with start-ups
• Must be a team player

Job Perks

• Attractive variable compensation package
• Flexible working hours – everything is results-oriented
• Opportunity to work with an award-winning organization in the hottest space in tech – artificial intelligence and advanced machine learning

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops