Job Title/Role : Director - Software Engineering - Unify Energy

Mode of hire : Full-Time

Base Location : Guindy, Chennai

Mode of work : Remote

Shift Timing : General shift EST Overlap required

Department : Engineering

About Us :

Access is a global leader in information management solutions, offering comprehensive services across the entire document and records management lifecycle. From secure offsite storage for paper and digital records to advanced software for privacy, retention, and document management, Access enables organizations to protect, govern, and maximize the value of their information. Our end-to-end services include backfile imaging and digital delivery, scanning and digitization, business process automation, and secure destruction, purges, shredding and data archiving.

About the Role :

We are seeking an experienced and strategic Director of Software Engineering to lead engineering for the Unify Energy platform. This role will provide technical, organizational, and delivery leadership for software and data capabilities serving the oil and gas industry. The Director will align engineering execution with customer and business priorities while advancing a secure, scalable platform that helps energy organizations manage high-value information, streamline operational workflows, and improve access to trusted data across the asset lifecycle.

The Director will partner closely with Product Management, business leadership, Architecture, Information Security, DevOps, Data Engineering, Quality Engineering, Implementation, Customer Success, and other software teams. This leader will translate industry needs into an executable engineering strategy, coordinate cross-team dependencies, and ensure that product investments produce measurable customer, operational, and financial outcomes.

The ideal candidate is a hands-on strategic leader with deep experience delivering complex SaaS and cloud-native platforms, leading distributed engineering teams, and building data-intensive solutions for regulated or asset-intensive industries. Oil and gas domain experience is strongly preferred, including familiarity with upstream, midstream, or downstream workflows; land, lease, well, facility, and asset records; regulatory information; document and data onboarding; and integration with industry and enterprise systems.

Roles and Responsibilities :

- Lead, mentor, and develop high-performing engineering teams responsible for the Unify Energy platform and related software, data, integration, and automation capabilities.

- Own the engineering strategy, technical roadmap, execution plan, and delivery outcomes for Unify Energy in alignment with product strategy, customer commitments, revenue goals, and long-term platform direction.

- Build strong working partnerships with oil and gas business leaders, customers, Product Management, Implementation, and Customer Success to understand industry workflows, prioritize the highest-value problems, and convert business outcomes into clear engineering plans.

- Provide technical leadership across SaaS software engineering, cloud-native architecture, APIs and integrations, data pipelines, search and document services, analytics, workflow automation, and applied AI.

- Oversee the full software development lifecycle, from discovery and architecture through development, testing, deployment, monitoring, support, and continuous improvement.

- Drive delivery of scalable, secure, and maintainable capabilities that support energy information ingestion, normalization, indexing, classification, validation, search, retrieval, workflow, and reporting.

- Advance platform capabilities that enable Access to serve as a trusted steward of customers physical and digital information assets by supporting metadata management, intuitive search, filtering, navigation, and map-based discovery within the SaaS platform. Lead the data engineering capabilities required to ingest, organize, and enrich customer data so it becomes more accessible, useful, and valuable across oil and gas workflows.

- Guide integration strategy for industry and enterprise systems, including data exchanges, APIs, batch interfaces, identity services, content repositories, GIS or spatial data, analytics platforms, and customer-specific systems of record.

- Lead data engineering and data quality practices for high-volume structured and unstructured information, including ETL/ELT, metadata management, lineage, reconciliation, observability, and reliable downstream consumption.

- Guide responsible use of AI and machine learning to improve document understanding, metadata extraction, classification, entity matching, search relevance, workflow recommendations, quality assurance, and operational efficiency.

- Ensure solutions are designed with appropriate attention to cybersecurity, privacy, records retention, legal hold, auditability, data residency, regulatory obligations, customer controls, and business continuity.

- Establish outcome-based planning and measurement. Define engineering and business KPIs for major initiatives, including delivery predictability, quality, reliability, adoption, customer value, operational efficiency, and revenue or retention impact.

- Partner with Architecture, Information Security, DevOps, Quality Engineering, Data Engineering, and Operations to establish technical standards, reusable patterns, release controls, service-level objectives, and operational readiness.

- Monitor portfolio health, delivery metrics, product quality, reliability, risks, dependencies, capacity, and technical debt; make clear tradeoffs and proactively resolve or escalate issues that threaten business outcomes.

- Continuously improve platform architecture, technical health, and integration patterns while protecting customer continuity and sequencing change based on value, risk, and delivery readiness.

- Support talent planning through hiring, coaching, performance management, succession planning, role clarity, and the creation of an accountable, inclusive, and customer-focused engineering culture.

- Represent Unify Energy engineering in executive, product, customer, and governance forums, providing clear updates on strategy, delivery performance, investment needs, risks, opportunities, and decisions required.

- Stay current with emerging trends in energy technology, information management, cloud engineering, cybersecurity, data platforms, AI-enabled automation, SaaS architecture, and software delivery practices.

First 6 - 12 Months:

The initial focus will be to establish a clear engineering and product delivery baseline for Unify Energy, strengthen alignment between customer needs and the technical roadmap, and improve execution predictability. The Director will assess the platform architecture, team capabilities, operating model, delivery commitments, reliability, security posture, technical debt, and customer integration landscape. They will work closely with Product, Operations, and customer-facing teams to confirm the highest-priority business and product outcomes and translate them into a focused, sequenced delivery plan.

Success will be demonstrated through clearer accountability, stronger engineering and product operating rhythms, improved delivery and quality metrics, reduced execution risk, deeper customer partnership, and measurable progress on the highest-value Unify Energy capabilities.

Required Skills & Experience:

- 10+ years of software engineering experience, including at least 5 years in senior engineering leadership roles.

- Proven experience leading high-performing software engineering teams delivering complex SaaS, cloud-native, data-intensive, or enterprise software platforms.

- Experience owning engineering strategy and the full software development lifecycle across multiple teams, products, or workstreams, with a record of delivering on time and against measurable business objectives.

- Strong technical foundation in modern software engineering principles, distributed systems, architecture, API design, integration patterns, cloud platforms, DevOps, observability, reliability, and operational excellence.

- Experience translating customer, market, and operational needs into product and engineering priorities, roadmaps, investment decisions, and measurable outcomes.

- Experience with information-intensive workflows, including document and data ingestion, metadata, search, content management, workflow orchestration, reporting, and records governance.

- Strong data engineering knowledge, including ETL/ELT, data modeling, data quality, lineage, reconciliation, scalable processing, and integration with downstream systems.

- Experience guiding AI or machine learning capabilities in production workflows, including model integration, evaluation, responsible AI practices, data protection, monitoring, and human-in-the-loop controls.

- Experience partnering with Product Management, Architecture, DevOps, Information Security, Quality Engineering, Data Engineering, Implementation, Operations, Customer Success, and senior business stakeholders.

- Strong understanding of Agile product delivery, engineering governance, portfolio and dependency management, risk management, financial stewardship, and continuous improvement.

- Excellent leadership, executive communication, stakeholder management, facilitation, and decision-making skills, including the ability to explain technical tradeoffs in business terms.

- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Engineering, or a related field, or equivalent professional experience.

Preferred Qualifications :

- Experience in the oil and gas industry or in technology supporting upstream, midstream, downstream, energy services, land management, asset operations, or regulatory workflows.

- Familiarity with oil and gas information domains such as leases, deeds, rights-of-way, wells, units, facilities, production, engineering drawings, environmental records, compliance documentation, and asset transactions.

- Experience integrating with energy-industry, geospatial, enterprise content management, ERP, data warehouse, analytics, or customer systems of record.

- Experience designing automation for document onboarding, classification, indexing, extraction, validation, search, workflow routing, or large-scale records conversion.

- Experience with Java, Spring Boot, REST APIs, React or Angular, microservices, containers, Kubernetes, and modern CI/CD practices.

- Experience with AWS services such as S3, Lambda, Step Functions, CloudWatch, IAM, Glue, Athena, Redshift, or comparable cloud services.

- Experience with cloud-native composite architectures, multi-tenant enterprise SaaS platforms, and the evolution of complex products or integration estates.

- Experience applying AI/ML, OCR, NLP, large language models, knowledge retrieval, or intelligent document processing to business workflows.

- Familiarity with information governance, retention, legal hold, privacy, security, auditability, data sovereignty, and regulated records environments.

- Experience leading distributed or remote teams and operating effectively in a global, matrixed organization.

Core Competencies :

1. Engineering Leadership & Talent Development :

- Builds accountable teams, develops leaders, and creates an environment of high standards, learning, and ownership.

2. Energy Industry & Customer Focus :

- Connects oil and gas workflows and customer needs to product priorities, technical decisions, and measurable value.

3. Product & Business Alignment :

- Balances strategy, customer commitments, revenue, risk, technical health, and long-term platform value.

4. SaaS & Cloud-Native Architecture :

- Guides scalable, secure, resilient architecture and pragmatic evolution across complex platforms.

5. Data, Integration & Information Management :

- Treats data quality, metadata, interoperability, search, governance, and records lifecycle as core product capabilities.

6. AI-Enabled Automation :

- Applies AI where it improves accuracy, speed, insight, or customer outcomes, with appropriate evaluation and controls.

7. Delivery & Operational Excellence :

- Creates predictable execution, strong quality practices, service reliability, observability, and continuous improvement.

8. Risk, Security & Compliance Mindset :

- Anticipates technical, operational, cyber, data, regulatory, and customer risks and embeds effective controls.

9. Executive & Cross-Functional Leadership :

- Frames decisions clearly, resolves ambiguity, manages tradeoffs, and builds alignment across business and technology teams.