Technical Team Leader - DevOps & DevSecOps

BETSOL; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Doist engagement with BETSOL requires a technical pod lead who will own end-to-end architecture across infrastructure, CI/CD, and application layers for cloud portal workloads on Azure and GCP. You will drive system design, run code reviews, and stay hands-on with IaC modules, pipeline logic, and application code, dedicating about 80% to technical work and 20% to team management.

The role emphasizes AI-first development practices, security governance, and delivery oversight, including sprint

Qualifications

• Proven experience as technical architect or technical lead.
• Deep cloud architecture experience with Azure/AWS/GCP (AKS/GKE, App Gateway, VNets, NSGs, Key Vault, Managed Identities, IAM, networking).
• Strong with Terraform, Helm, Kubernetes, and reusable module design.
• CI/CD pipeline design with Jenkins or GitHub Actions including blue/green, canary, and rollback strategies.
• DevSecOps: SAST/DAST/SCA tooling, container and image scanning, supply chain security, secrets/cert/key management with vault solutions.
• Familiarity with security frameworks.
• Observability: Prometheus, Grafana, Azure Monitor, Google Cloud Monitoring, DataDog; SLO/SLI/error-budget.
• Scripting in Bash, Python, or PowerShell.
• Practical experience with AI-first development: working daily with AI coding assistants, building or governing agentic dev workflows, reviewing AI output for quality and security.

Responsibilities

• Own end-to-end architecture across infrastructure, CI/CD, and application layers for cloud portal workloads on Azure and GCP.
• Drive systems-level design including reference architectures and reusable patterns.
• Run code reviews and design reviews.
• Set the quality bar and the definition of done.
• Stay hands-on: contribute IaC modules, pipeline logic, and app code as needed.
• Champion AI-first development practices across the pod and review AI output for security and correctness.
• Run the pod as project manager: sprint planning, standups, retrospectives, status reporting to BETSOL and client stakeholders.
• Maintain the backlog, surface risks early, and surface risks early.
• Lead release management, change control, and post-incident reviews.
• Forecast capacity as 2-3 to 5-6 engineers and partner with BETSOL on hiring.
• Onboard new engineers, set growth paths, and provide regular technical coaching.
• Build a culture of ownership, transparent communication, and continuous learning.
• Embed security, compliance (FedRAMP, FIPS, CIS, ISO, PCI), and observability standards into every delivery.

Skills

Technical lead

Azure

AWS

GCP

Terraform

Helm

Kubernetes

CI/CD

DevSecOps

Security frameworks

Observability

Bash/Python/PowerShell

AI-first development

Tools

Terraform

Ansible

Helm

Kubernetes

Jenkins

GitHub Actions

Vault

Job description

You will lead a technical pod of full-stack DevOps/DevSecOps engineers while staying hands‑on in the code, the architecture, and the pipelines. This is a player‑coach role: you set technical direction across the stack, run design and code reviews, unblock the team, and double as the project manager for the engagement. You are the single point of accountability for what the pod ships and how it ships.

Responsibilities

Technical Leadership

• Own end‑to‑end architecture across infrastructure, CI/CD, and application layers for cloud portal workloads on Azure and GCP.
• Drive systems‑level design: trade‑off analysis, reference architectures, reusable Terraform/Ansible/Helm patterns, and platform conventions the team builds against.
• Run code reviews and design reviews.
• Set the quality bar and the definition of done.
• Stay hands‑on: contribute IaC modules, pipeline logic, and application code as needed. Expect to spend roughly 80% of your time on technical contributions and 20% on team management.
• Champion AI‑first development practices across the pod: model‑assisted coding, prompt and context discipline, agentic workflows in IDEs and CI, and review of AI‑generated output for security and correctness.

Delivery & Project Management

• Run the pod as project manager: sprint planning, standups, retrospectives, status reporting to BETSOL and client stakeholders.
• Maintain the backlog, sequence work against client priorities, and surface risks early.
• Lead release management, change control, and post‑incident reviews.
• Forecast capacity as the pod scales from 2-3 to 5-6 engineers and partner with BETSOL on hiring loops for added seats.

People & Mentorship

• Onboard new engineers, set growth paths, and provide regular one‑on‑one technical coaching.
• Build a culture of ownership, transparent communication, and continuous learning.

DevSecOps Governance

• Embed security, compliance (FedRAMP, FIPS, CIS, ISO, PCI), and observability standards into every delivery the pod produces.
• Partner with client security teams on threat modeling and audit response.

Looking For

8+ years in software engineering or platform engineering, with at least 2 years leading a delivery team of 3+ engineers. Hands‑on coding within the last 12 months is required.

Mandatory Skills

A. Technical

• Proven experience as technical architect or technical lead
• Deep cloud architecture experience on any of the following: Azure (preferred), AWS, or GCP (AKS/GKE, App Gateway, VNets, NSGs, Key Vault, Managed Identities, IAM, networking).
• Strong with Terraform, Helm, Kubernetes, and reusable module design.
• CI/CD pipeline design with Jenkins or GitHub Actions including blue/green, canary, and rollback strategies.
• DevSecOps: SAST/DAST/SCA tooling, container and image scanning, supply chain security, secrets/cert/key management with vault solutions.
• Familiarity with security frameworks
• Observability with any of the following: Prometheus, Grafana, Azure Monitor, Google Cloud Monitoring, DataDog, Log Analytics; SLO/SLI/error‑budget practice.
• Scripting in Bash, Python, or PowerShell.
• Practical experience with AI‑first development: working daily with AI coding assistants, building or governing agentic dev workflows, reviewing AI output for quality and security.

B. Soft Skills

• Excellent written and verbal English; comfortable in US‑EST hour stakeholder conversations.
• Calm, structured communication with both engineers and non‑technical stakeholders.
• Strong problem‑solving and systems thinking.
• Ownership mindset and clear accountability for outcomes.

Good to Have

• Prior staff‑augmentation or consulting delivery experience.
• Background in regulated industries (BFSI, healthcare, government).
• Certifications: Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, CKA/CKAD, HashiCorp Terraform Associate.
• AnsibleArgoCDFamiliarity with security frameworks, such as: FedRAMP, FIPS, CIS Benchmarks, ISO, PCI.Full‑stack application fluency for portal use cases (modern JS/TS frontend, REST APIs, common backend frameworks).