Full-Time

Java Engineer

Application / Database Modernization

Mactores

Mactores

51-200 employees

Technology consulting for AI, IoT, Cloud

No salary listed

Mumbai, Maharashtra, India

Remote

Remote from Mumbai (India); must overlap with US business hours/time zones.

Category
Software Engineering (1)
Required Skills
Software Testing
SQL
Java
Spring
Hibernate

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Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of professional Java development experience (Spring, JDBC, MyBatis/Hibernate or equivalent).
  • Experience with application modernization, database migrations, or large-scale refactoring initiatives.
  • Strong SQL expertise you can analyze, interpret, optimize, and rewrite complex SQL embedded in Java applications.
  • Deep understanding of JDBC, ORMs, Java transaction patterns, and database-driven application flows.
  • Experience on enterprise-grade, high-performance applications with complex data interactions.
  • Strong communication skills and the ability to work with global distributed teams in US time zones.
Responsibilities
  • Analyze and remediate large enterprise Java codebases — replace legacy and database-specific SQL constructs with modern, standards-compliant SQL.
  • Convert embedded SQL in Java services and MyBatis XML mappers: rewrite vendor-specific functions, sequences, pagination logic, dynamic SQL, and error-handling patterns.
  • Work closely with schema and database migration engineers so application-layer SQL lands aligned with the modernized target schema.
  • Refactor Java transaction logic, error handling, drivers, and ORM/DAO layers to match the behavior of modern databases.
  • Run unit, integration, and performance testing to confirm functional parity and hit performance SLAs post-modernization.
  • Support production cutover — validation, monitoring setup, rollback planning, and stabilization until the system holds.
  • Produce engineering documentation that outlives the engagement: SQL remediation guides, code-migration runbooks, troubleshooting guides, and knowledge-transfer material for customer teams.
  • Work across distributed teams (US and India) and with customer SMEs to keep business logic aligned and the modernization on track.
Desired Qualifications
  • Experience with PostgreSQL, Aurora PostgreSQL, or modernization from legacy databases such as Oracle, SQL Server, or DB2.
  • Exposure to automated code-refactoring tools or GenAI-assisted remediation workflows.
  • Familiarity with CI/CD environments, performance testing tools, and observability stacks.
  • Consulting or professional services experience delivering fixed-timeline modernization projects.

Mactores combines technology consulting with product development to solve business problems using AI, Fast Data, Industrial IoT and Cloud. It designs and implements AI-driven analytics, real-time data processing, IoT edge and cloud platforms to create business value. Its approach centers on keeping customers at the core and blending deep tech skills with industry knowledge to deliver measurable impact. The goal is to achieve exceptional results with lasting benefits for businesses, communities and individuals, while growing into a leading technology consulting and product firm.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Seattle, Washington

Founded

2008

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Simplify Jobs

Simplify's Take

What believers are saying

  • 90-day Proof of Value can accelerate enterprise buying decisions.
  • AWS collaboration supports co-sell motions and modernization pipeline expansion.
  • Bundling data modernization with AI agents raises wallet share.

What critics are saying

  • AWS dependence exposes Mactores to partner policy changes and internal competition.
  • Pilot-heavy selling can stall revenue if Proof of Value conversions lag.
  • Generic consulting services face margin pressure from larger, faster-moving competitors.

What makes Mactores unique

  • AWS-native agentic AI specialization targets regulated enterprises.
  • Over 500 projects across 50-plus enterprise clients since 2008.
  • 200-plus AWS-certified experts support modernization and AI delivery.

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Benefits

Remote Work Options

Flexible Work Hours

Company News

The Associated Press
Jan 28th, 2026
Mactores secures AWS agentic AI specialisation to automate critical decisions for regulated enterprises

Mactores Cognition, a full-stack AI services company and AWS Advanced Consulting Partner, has formalised its AWS-native agentic AI delivery model to help regulated enterprises automate critical decisions. The Bellevue-based firm focuses on healthcare, financial services, manufacturing and telecoms whilst maintaining compliance and auditability. Founded in 2008, Mactores has delivered over 500 projects for 50-plus enterprise clients with a team of 200-plus AWS-certified experts. The company holds multiple AWS competencies, including Generative AI Services, Healthcare and Agentic AI Specialisation. Its approach uses three AI agents and a 90-day Proof of Value framework. Mactores reports outcomes including 5x faster migrations at one-third the cost, 75% efficiency improvements and 90% automation rates. The company operates under a Strategic Collaboration Agreement with AWS.

Mactores
Jan 8th, 2025
Unified Data and AI with Amazon SageMaker LakeHouse

In this blog post, Mactores Cognition Inc'll delve deeper into the core efficiencies of Amazon SageMaker, explore the latest innovations unveiled at re: Invent 2024, and uncover how SageMaker Lakehouse can empower you to build cutting-edge AI solutions with unparalleled speed and agility.

GlobeNewswire
Dec 19th, 2024
Mactores Cognition Inc. Achieves AWS Generative AI Competency

Mactores Cognition Inc. has earned AWS Accredited Competency for Generative AI Solutions, validating its expertise in delivering secure, scalable AI-driven innovations.

Mactores
Apr 16th, 2024
Cloud Revolution: Mactores' Strategies in Driving Cloud Adoption

Adani Power: By partnering with Mactores and AWS, Adani Power overcame scalability challenges and improved operational efficiency through real-time data analysis on AWS, including using Amazon Timestream, SageMaker, and Forecast, reducing costs and increasing revenue.