Associate Vice President - Product Engineering - DevOps/DBA

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 Requirements 

Required Experience 

5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment 

management. 

Strong expertise in Salesforce deployment processes, including CI/CD pipelines. 

Significant hands-on experience with at least two of the following tools: Gearset, Copado, 

Flosum. 

Solid understanding of Salesforce architecture, metadata, and development lifecycle. 

Familiarity with version control systems (e.g., Git) and agile methodologies. 

Key Responsibilities 

Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, 

Copado, or Flosum. 

Automate and optimize deployment processes to ensure efficient, reliable, and repeatable 

releases across Salesforce environments. 

Collaborate with development, QA, and operations teams to gather requirements and ensure 

alignment of deployment strategies. 

Monitor, troubleshoot, and resolve deployment and release issues. 

Maintain documentation for deployment processes and provide training on best practices. 

Stay updated on the latest Salesforce DevOps tools, features, and best practices. 

Technical Skills 

Skill Area Requirements 

Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments 

CI/CDBuilding and maintaining pipelines, automation, and release management 

Version ControlProficiency with Git and related workflows 

Salesforce PlatformUnderstanding of metadata, SFDX, and environment management 

Scripting 

Familiarity with scripting (e.g., Shell, Python) for automation (preferred) 

Communication 

Strong written and verbal communication skills 

Preferred Qualifications 

Bachelor’s degree in Computer Science, Information Technology, or related field. 

Certifications 

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus. 

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial. 

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

Job Description

We are seeking a skilled DevOps Specialist to join our global automotive team. As DevOps Specialist, you will be responsible for managing operations, system monitoring, troubleshooting, and supporting automation workflows to ensure operational stability and excellence for enterprise IT projects. You will be providing support for critical application environments for industry leaders in the automotive industry. 

Responsibilities:

Daily maintenance tasks on application availability, response times, pro-active incident tracking on system logs and resources monitoring

Incident Management: Monitor and respond to tickets raised by the DevOps team or end-users. 

Support users with prepared troubleshooting Maintain detailed incident logs, track SLAs, and prepare root cause analysis reports.

Change & Problem Management: Support scheduled changes, releases, and maintenance activities. Assist in identifying and tracking recurring issues. 

Documentation & Communication: Maintain process documentation, runbooks, and knowledge base articles. Provide regular updates to stakeholders on incidents and resolutions. 

Tool & Platform Support: Manage and troubleshoot CI/CD tools (e.g., Jenkins, GitLab), container platforms (e.g., Docker, Kubernetes), and cloud services (e.g., AWS, Azure).

Requirements:

DevOps Skillset: Logfile analysis /troubleshooting (ELK Stack), Linux administration, Monitoring (App Dynamics, Checkmk, Prometheus, Grafana), Security (Black Duck, SonarQube, Dependabot, OWASP or similar)

Experience with Docker.

Familiarity with DevOps principles and ticket tools like ServiceNow.

Experience in handling confidential data and safety sensitive systems

Strong analytical, communication, and organizational abilities. Easy to work with.

Optional: Experience with our relevant business domain (Automotive / Manufacturing industry, especially production management systems). Familiarity with IT process frameworks SCRUM, ITIL. 

Skills & Requirements

DevOps, Logfile Analysis, Troubleshooting, ELK Stack, Linux Administration, Monitoring, AppDynamics, Checkmk, Prometheus, Grafana, Security, Black Duck, SonarQube, Dependabot, OWASP, Docker, CI/CD, Jenkins, GitLab, Kubernetes, AWS, Azure, ServiceNow, Incident Management, Change Management, Problem Management, Documentation, Communication, Analytical Skills, Organizational Skills, SCRUM, ITIL, Automotive Industry, Manufacturing Industry, Production Management Systems.

DevOps & Automation:

• Experience in CI/CD tools like Azure DevOps, YAML, Git, and GitHub. Capable of automating build, test, and deployment processes to streamline application delivery.
• Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep (preferred), Terraform, Ansible, and ARM Templates.

Cloud Services & Architecture:

• Experience in Azure Cloud services, including Web Apps, AKS, Application Gateway, APIM, and Logic Apps.
• Good understanding of cloud design patterns, security best practices, and cost optimization strategies.

Scripting & Automation:

• Experience in developing and maintaining automation scripts using PowerShell to manage, monitor, and support applications.
• Familiar with Azure CLI, REST APIs, and automating workflows using Azure DevOps Pipelines.

Data Integration & ADF:

• Working knowledge or basic hands-on experience with Azure Data Factory (ADF), focusing on developing and managing data pipelines and workflows.
• Knowledge of data integration practices, including ETL/ELT processes and data transformations.

Application Management & Monitoring:

• Ability to provide comprehensive support for both new and legacy applications.
• Proficient in managing and monitoring application performance using tools like Azure Monitor, Log Analytics, and Application Insights.
• Understanding of application security principles and best practices.

Database Skills:

• Basic experience of SQL and Azure SQL, including database backups, restores, and application data management.

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. 

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

• Integrate gates into CI/CD pipeline and push all flaws/issues to developers IDE (as far left as possible) - ideally in code repo but required by the time code is in the artifact repository.

• Demonstrable experience in Containerization-Docker and orchestration (Kubernetes)     
• Experience withsetting up self-managed Kubernetes clusters without using any managed cloud offerings like EKS 
• Experience working withAWS - Managing AWS services - EC2, S3, Cloudfront, VPC, SNS, Lambda, AWS Autoscaling, AWS IAM, RDS, EBS, Kinesis, SQS, DynamoDB, Elastic Cache, Redshift, Cloudwatch, Amazon Inspector. 

• Familiarity withLinux and UNIX systems (e.g. CentOS, RedHat) and command line system administration such as Bash, VIM, SSH.
• Hands on experience in configuration management of server farms (using tools such asPuppet, Chef, Ansible, etc.,).

• Demonstrated understanding of ITIL methodologies, ITIL v3 or v4 certification
• Kubernetes CKA or CKAD certification nice to have

Job Description :

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

Roles & responsibilities:

• Champion engineering and operational excellence.
• Establish a solid infrastructure framework and excellent development and deployment processes.
• Provide technical guidance to both your team members and your peers from the development team.
• Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
• Be part of and help create a positive work environment based on accountability.
• Communicate across functions and drive engineering initiatives.
• Initiate cross team collaboration with product development teams to develop high quality, polished products and services.

Must haves:

• 5+ years of professional experience developing, and launching software products on Cloud.
• Basic understanding Java/Go Programming
• Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
• Deep understanding of AWS or Any Cloud.
• Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
• Good Understanding of Operating systems
• Strong technical background with track record of individual technical accomplishments
• Ability to handle multiple competing priorities in a fast paced environment
• Ability to establish credibility with smart engineers quickly.
• Most importantly, ability to learn and urge to learn new things.
• B.Tech/M.Tech in Computer Science or a related technical field.

Good to Have:

• Hands-on knowledge of Configuration Management and Deployment tools like – Ansible, Terraform etc.
• Proficient in scripting, and Git and Git workflows
• Experience in developing Continuous Integration/ Continuous Delivery pipelines
• Knowledge of Big Data systems.

BENEFITS: -

 Competitive salary and stock options -

 Premium medical benefits 

LOCATION: - Remote (India) 

EDUCATION AND EXPERIENCE - 

Degree in computer science, software engineering, or a related field - 

At least 3-5 years of professional work experience as a 

DevOps / test automation / deployment engineer -

 Experience in agile software development methodologies 

JOB RESPONSIBILITIES: -

 Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases - 

Generate release notes, user guides, technical documentation -

 Perform upgrades/ downgrades (patch management) - 

Generate and Manage configurations - 

Suggest process improvements by interfacing with product owner - 

File process/installation/deployment related issues & tracking them - 

Verify customer-reported issues and translate them into technical tasks for development 

REQUIREMENTS:

 Following are must to have requirements, - 

Automation frameworks like Selenium etc. - 

Scripting languages like Perl, Python etc. - 

Linux systems - 

Version control system like git -

 Issue tracking system like Jira -

 Networking protocols -

 Cloud infrastructure - 

Ability to work individually and as part of a team with a sense of urgency -

 Excellent communication skills in written and verbal English - 

Great attention to detail 

PREFERRED: 

Following are good to have requirements, - 

Knowledge in any of the programming languages like C, C++ etc. 

Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure - 

Familiarity with machine learning / artificial intelligence infrastructure - 

Experience in data visualization and statistics - 

Basic knowledge of hardware infrastructure containing routers, switches and others -

 Familiarity with web & data securityDesign and development of scalable software test framework to automate test