Engineering Manager at Sia Partners - United Kingdom

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Algorithms, Data Structures, Distributed Systems, Cloud-Native Design Patterns, Python, Node.js, React.js, SaaS Products, Cloud Deployment Strategies, Docker, Kubernetes, CI/CD, Gitlab, DevOps Practices, Technical Leadership, Interpersonal Skills

Industry

Business Consulting and Services

Description

Company Description Sia Partners is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. With expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation. Heka.ai is the independent brand of Sia Partners dedicated to AI solutions. We host many AI-powered SaaS solutions that can be combined with consulting services or used independently, to provide our customers with solutions at scale. Job Description Sia Partners is looking for an Engineering Manager to support the development of the Data Science Business Line in our new office in Mumbai. Your main responsibilities will include: Team Leadership: Hire, coach, and retain engineers; grow tech leads and senior ICs. Establish trust through design sessions, reviews, and unblockers while fostering a culture of ownership and innovation. Technical Strategy: Define and drive quarterly technical roadmaps aligned with business priorities. Lead architecture evolutions (e.g., scaling APIs, pipelines, or AI integration). Architecture & Design Reviews: Ensure scalability, security, and performance across services. Embed architectural guardrails, coding guidelines, and documentation standards. Hands-On Contribution: Contribute targeted PRs (scaffolding, infra-as-code, unblockers, devex improvements) monthly/quarterly without owning critical delivery paths. Promotion of Innovation and Efficiency: Uphold the highest standards of excellence and efficiency in software engineering practices. Foster a culture of ongoing enhancement, encouraging innovative thinking and knowledge exchange throughout the organization. Cross-Functional Collaboration: Partner with Product, Research, and Ops to deliver customer-visible value. Sequence ambiguous requirements into actionable milestones and deliver frequent wins. Talent Development and Engagement: Engage in recruiting, training, and empowering premier engineering talent. Attract, develop, and maintain outstanding engineers, creating an environment of excellence and cooperative effort. Qualifications Education: Minimum Bachelor’s Degree or international equivalent in a relevant subject (Data Science, Economics, Mathematics, Computer Science, Engineering or Business preferred). Experience: Over 8 years in software development, including at least 2 years in a leadership role managing software development teams. Demonstrated expertise in the technology product sector, with a robust understanding of product development processes and innovation. Core Skills: Algorithms, data structures, distributed systems, cloud-native design patterns. Languages & Frameworks: Python (core), Node.js & React.js (working familiarity). Technical Expertise: Proficient in developing and launching modern SaaS products. Solid knowledge of scalable cloud-native systems, especially on public cloud platforms like AWS. Skilled in modern DevOps practices, adhering to the philosophy of "you build it, you run it." Leadership Skills: A decisive technology leader who prioritizes action. Outstanding interpersonal skills, capable of building relationships and collaborating across functions to achieve common objectives. Strong command of the English language, adept in both written and verbal communication, effective at all organizational levels. Global Collaboration: Demonstrated skills in global team collaboration. Experienced in leading managers and excelling in attracting and retaining top engineering talents. Technical skills: Proficient in cloud deployment strategies, including Private Cloud and AWS, alongside containerization and orchestration technologies such as Docker and Kubernetes. Familiar with CI/CD methodologies and tools including Gitlab. Skilled in programming languages such as Python and in scripting languages like Bash. Additional Information What We Offer Opportunity to lead cutting-edge AI projects in a global consulting environment. Leadership development programs and training sessions at our global centers. A dynamic and collaborative team environment with diverse projects. Position based in Mumbai (onsite) Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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Responsibilities

The Engineering Manager will lead the development of the Data Science Business Line, focusing on team leadership, technical strategy, and cross-functional collaboration. Responsibilities include hiring and coaching engineers, defining technical roadmaps, and ensuring architectural standards.