Technical Team Leader - DevOps & DevSecOps (English)

Engineering the AI-powered enterprise. With AI and cloud-native solutions, BETSOL accelerates cloud transformation for enterprises across 17+ countries. BETSOL holds several engineering patents, and is recognized with industry awards. BETSOL maintains a net promoter score that is 2x the industry average.

BETSOL’s open source backup and recovery product line, Zmanda (Zmanda.com), delivers up to 50% savings in total cost of ownership (TCO) and delivers best-in-class performance.

BETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for customers.

We take pride in being an employee-centric organization, offering comprehensive benefits and opportunities.

Learn more at  betsol.com

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 roughly 40-60% individual contribution alongside leadership.
• 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.

Qualifications

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

• Deep cloud architecture experience on Azure and GCP (AKS/GKE, App Gateway, VNets, NSGs, Key Vault, Managed Identities, IAM, networking).
• Strong with Terraform, Ansible, Helm, Kubernetes , and reusable module design.
• CI/CD pipeline design with Jenkins, GitHub Actions, ArgoCD , 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, such as: FedRAMP, FIPS, CIS Benchmarks, ISO, PCI .
• Observability: Prometheus, Grafana, Azure Monitor, Google Cloud Monitoring, Log Analytics; SLO/SLI/error-budget practice.
• Full-stack application fluency for portal use cases (modern JS/TS frontend, REST APIs, common backend frameworks).
• 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.

Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.

Additional Information

This role requires US Eastern Time working hours : Monday-Friday, standard US-EST business hours (with reasonable flexibility for incident response and global coordination). Strong English skills are required.